Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

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114 articles
Proceedings Article

Consistent Inverse Probability and Possibility Propagation

Dominik Hose, Michael Hanss
Given a probability distribution of an output quantity of a model, it is generally not possible to infer a unique probability distribution of the uncertain input quantity. In this contribution, it is shown that by reverting back to the coarser framework of possibility theory this problem possesses a...
Proceedings Article

Fuzzy logic-predicate network

Tatiana Kosovskaia
In many Artificial Intelligence problems an investigated object is considered as a set of its elements {ω1,...,ωt} and is characterized by properties of these elements and relations between them. These properties and relations may be set by predicates p1,..., pn. The problems appeared with...
Proceedings Article

Granular Evolving Min-Max Fuzzy Modeling

Alisson Porto, Fernando Gomide
The paper addresses a novel evolving functional fuzzy modeling algorithm using hyperboxes and min-max fuzzy granulation. Data space granulation is done as data are input, and adapted using expansion, reduction operations to encompass new information. A fuzzy rule is assigned to each hyperbox using Gaussian...
Proceedings Article

Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis

Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo, Ignacio J. Perez, Sergio Alonso, Enrique Herrera-Viedma
Traditional group decision making methods work under the assumption that experts must provide their preferences to a computational system after carrying out a thorough debate. Nevertheless, this is not natural since the mean where experts express their ideas and preferences is inside the debate. In this...
Proceedings Article

Evaluating Collaboration Ability of R&D Team Members: A Multi-Granular Hesitant Fuzzy Linguistic Approach

Zhen Zhang, Junliang Gao, Wenyu Yu
Evaluating each member's collaboration ability in an R\&D team is of vital importance for senior managers to improve the team performance for R&D activities. Due to the difference in knowledge and education background, each team member usually tends to use multi-granular hesitant fuzzy linguistic term...
Proceedings Article

Fuzzy applications in selected aircraft on-board system

Norbert Grzesik, Janusz Ćwiklak, Mariusz Zieja, Grzegorz Kozłowski
Authors in this publication present the new approach to aircraft systems efficiency evaluation. The research station consists of two units: efficiency evaluation unit and flight simulation unit. The efficiency is evaluated with use of fuzzy inference systems designed in Matlab/Simulink Software. Simulations...
Proceedings Article

Relational variants of categories of fuzzy sets defined by monads

Jiří Močkoř
By a T-relational variant of a category K we understand a Kleisli category K_T of a category K with respect to a monad T. Using explicit definitions we equivalently describe several T-relational examples of categories with fuzzy type objects, where T are apropriate monads in these categories.
Proceedings Article

Aggregation of Partial T-Indistinguishability Operators

Tomasa Calvo, Pilar Fuster
We focus on the aggregation of partial T-indistinguishability operators. We provide a characterization of those functions that allow to merge a collection of partial T-indistinguishability operators into a new one in terms of (+, max)-tuples. Moreover, we see that this is equivalent to the characterization...
Proceedings Article

Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment

Serhat Aydın, Cengiz Kahraman
Supply chain management process includes many activities to transform raw materials into final products considering with customer satisfaction. Order fulfillment process is one of them and plays a critical role in ensuring customer satisfaction. This study proposes uncertain dynamic intuitionistic decision...
Proceedings Article

Towards a More Efficient Representation of Functions in Quantum and Reversible Computing

Oscar Galindo, Laxman Bokati, Vladik Kreinovich
Many practical problems necessitate faster and faster computations. Simple physical estimates show that eventually, to move beyond a limit caused by the speed of light restrictions on communication speed, we will need to use quantum -- or, more generally, reversible -- computing. Thus, we need to be...
Proceedings Article

Algorithm for Finding Domination Set in Intuitionistic Fuzzy Graph

Alexander Bozhenyuk, Margarita Knyazeva, Igor Rozenberg
In this paper, the concept of minimal intuitionistic dominating vertex subset of intuitionistic fuzzy graph was considered, and on its basis the notion of a domination set as an invariant of the intuitionistic fuzzy graph was introduced. A method and an algorithm for finding all minimal intuitionistic...
Proceedings Article

Hospital Location Selection Using Spherical Fuzzy TOPSIS

Cengiz Kahraman, Fatma Kutlu Gundogdu, Sezi Cevik Onar, Basar Oztaysi
The three dimensional extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets of type-2 (IFS2) or Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS) aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy...
Proceedings Article

An Enhancement of Fuzzy K-Nearest Neighbor Classifier Using Multi-Local Power Means

Mahinda Mailagaha Kumbure, Pasi Luukka, Mikael Collan
This study introduces a new method to the family of fuzzy k-nearest neighbor (FKNN) classifiers that is based on the use of power means in the calculation of multi-local means that are used in classification of samples. The proposed new classifier is called multi-local power means fuzzy k-nearest neighbor...
Proceedings Article

Characterizing Positive Definite Matrices with t-norms

Jordi Recasens
In this work symmetric positive definite matrices with non-negative entries will be characterized by using the Yager's family of t-norms. It can always be assumed that such an n X n matrix corresponds to a reflexive and symmetric fuzzy relation A on a set of cardinality n and then A is positive definite...
Proceedings Article

Generalized deviation functions and construction of aggregation functions

Andrea Stupnanova, Peter Smrek
We generalize the concept of moderate deviation functions D : [0,1]2 → R into (k + 1)- dimensional moderate deviation function D(k) : [0,1]k X [0,1] → R and propose a D(k)-based method for constructing idempotent aggregation functions. More, to enable to introduce weights of groups of criteria...
Proceedings Article

Artificial Intelligence in the Context of Psychological Security: Theoretical and Practical Implications

Alexey Averkin, Darya Bazarkina, Konstantin Pantserev, Evgeny Pashentsev
The academic community cannot ignore the growing opportunities offered by artificial intelligence. Especially relevant are developments in this ares against the background of growing challenges and threats arising from the use of the digital environment by actors of psychological warfare – by strategists...
Proceedings Article

Cross-migrative commutative aggregation functions with respect to Archimedean triangular norms

Wenwen Zong, Yong Su, Liu Hua-Wen
Functional equations involving aggregation functions play an important role in fuzzy sets and fuzzy logic theory. The cross-migrative equation is a weaker form of the classical commuting equation. This paper is devoted to exploring cross-migrative commutative aggregation functions with respect to Archimedean...
Proceedings Article

Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications

Ali Nail Ozdin, Adnan Yazici, Murat Koyuncu
This study aims to increase the reliability of activity detection by using fuzzy logic extended Semantic Web technologies to Wireless Multimedia Sensor Networks (WMSNs). The proposed approach consists of three layers: the sensor layer, the data layer, and the Semantic Web layer. The sensor layer comprises...
Proceedings Article

Emotion recognition from speech signal using fuzzy clustering

Stefano Rovetta, Zied Mnasri, Francesco Masulli, Alberto Cabri
Expressive speech modeling is a new trend in speech processing, including emotional speech synthesis and recognition. So far, emotion recognition from speech signal has been mainly achieved using supervised classifiers. However, clustering techniques seem well fitted to resolve such a problem, especially...
Proceedings Article

A Hybrid Model of Gene Expression Profiles Reducing Based on the Complex Use of Fuzzy Inference System and Clustering Quality Criteria

Sergii Babichev, Jiří Barilla, Jiří Fišer, Jiří Škvor
The paper presents the hybrid model of gene expression profiles reducing based on complex use of fuzzy inference system and clustering quality criteria. The average of absolute values, the variance and Shannon entropy of the gene expression profiles were used as the input parameters of fuzzy inference...
Proceedings Article

Explainable Artificial Intelligence for Kids

Jose M. Alonso
Artificial Intelligence (AI) is part of our everyday life and has become one of the most outstanding and strategic technologies of the 21st century. Explainable AI (XAI in short) is expected to endow AI systems with explanation ability when interacting with humans. This paper describes how to provide...
Proceedings Article

Experton approach to vague information in portfolio selection problem with many views

Aleksandra Rutkowska, Marcin Bartkowiak
This paper presents many expert fuzzy extensions of the Black-Litterman portfolio selection model. Black and Litterman identified two sources of information regarding the expected returns, and they combined these two sources of information in one expected return formula. The first source of information...
Proceedings Article

Fuzzy Confidence Interval Estimation by Likelihood Ratio

Rédina Berkachy, Laurent Donzé
We propose a fuzzy confidence interval estimation based on the likelihood ratio. This ratio, often used in hypotheses testing seems to be an efficient tool for calculating confidence intervals since it is known to be general, and thus can be applied on any parameter. The strength of the defended procedure...
Proceedings Article

Explaining Computer Predictions with Augmented Appraisal Degrees

Marcelo Loor, Guy De Tré
An augmented appraisal degree (AAD) has been conceived as a mathematical representation of the connotative meaning in an experience-based evaluation, which depends on a particular experience or knowledge. Aiming to improve the interpretability of computer predictions, we explore the use of AADs to represent...
Proceedings Article

Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional

Olga Kosheleva, Vladik Kreinovich
One of the fundamental problems of modern physics is the problem of divergence: e.g., when we try to compute the overall energy of the electric field generated by a charged elementary particle, we get a physically meaningless infinite value. In this paper, we show that one way to avoid these infinities...
Proceedings Article

An Adaptive Consensus Reaching Process Dealing with Comparative Linguistic Expressions in Large-scale Group Decision Making

Álvaro Labella Romero, Rosa M. Rodríguez, Luis Martínez
Nowadays, society often faces decision problems under uncertainty that hardly can manage by a single expert or a few of them because of their complexity. Under these conditions, large-scale group decision making (LS-GDM) problems are becoming more and more common. The decisions made on these types of...
Proceedings Article

A preliminary inquiry into the aggregation of compositional data

Raúl Pérez-Fernández, Bernard De Baets
The aggregation of compositional data vectors arises naturally in many fields of application. In particular, the weighted centroid is inherently linked to the process of mixing two or more compounds. However, as natural and simple as this process may be, the weighted centroid does not fit the standard...
Proceedings Article

Mining data quality rules based on T-dependence

Toon Boeckling, Antoon Bronselaer, Guy De Tré
Since their introduction in 1976, edit rules have been a standard tool in statistical analysis. Basically, edit rules are a compact representation of non-permitted combinations of values in a dataset. In this paper, we propose a technique to automatically find edit rules by use of the concept of T-dependence....
Proceedings Article

Orthogonality spaces allowing gradual transitions

Thomas Vetterlein
We consider orthogonality spaces subjected to the condition that gradual transitions between any two elements are possible. More precisely, given elements e and f, we require a homomorphism from the unit circle to the automorphism group to exist such that one of these automorphisms maps e to f, and any...
Proceedings Article

Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering

Gabriella Casalino, Giovanna Castellano, Corrado Mencar
The problem of credit card fraud detection is approached by a semi-supervised classification task on a data stream. The DISSFCM algorithm is applied, which is based on Dynamic Incremental Semi-Supervised Fuzzy C-Means that processes data grouped in small-size chunks. Experimental results on a real-world...
Proceedings Article

On a category of deterministic fuzzy automata

Priyanka Pal, S.P. Tiwari
The purpose of the present work is to use the concepts of reachability and obsrvability maps to provide a solution of a well-known characterization of fuzzy regular languages. In between, we associate two deterministic fuzzy automata with a given deterministic fuzzy automaton and show that the reachability...
Proceedings Article

On L-fuzzy partitioned automata

Shailendra Singh, S.P. Tiwari
This paper is towards the study of theory of fuzzy automata with fuzzy partitions. Specifically, we study the concept of the L-fuzzy partitioned automaton corresponding to a given L-fuzzy automaton. Further, we introduce the concept of a crisp-deterministic L-fuzzy automaton corresponding to the L-fuzzy...
Proceedings Article

On LM-valued F-transforms and LM-valued fuzzy rough sets

Abha Tripathi, S.P. Tiwari, Anand Pratap Singh
The goal of this contribution is to propose LM-valued F-transforms, which are essentially the many-valued generalizations of the notion of lattice-valued F-transforms. Further, we associate the concepts of LM-valued fuzzy rough sets with LM-valued F-transforms. Moreover, we show that the notion of F-transforms...
Proceedings Article

Solvability of Fuzzy Relational Equations Employing Undefined Values

Nhung Cao
The paper aims at studying the solvability of fuzzy relational equations where the input fuzzy sets may have undefined values. The appropriate operations dealing undefined values are taken from the algebras built in partial fuzzy logic, in particular, the Bochvar operations, Sobocinski operations, Kleene...
Proceedings Article

Fuzzy implicators related to (quasi-)copulas

Anna Kolesárová, Radko Mesiar
In this paper, we study relations between fuzzy implicators and some kinds of fuzzy conjunctors, in particular, quasi-copulas and copulas. We show that there is a duality be- tween the classes of all quasi-copulas and 1- Lipschitz fuzzy implicators. In addition, we introduce a construction method for...
Proceedings Article

Sentiment Analysis in Social Networks: A Methodology Based on the Latent Dirichlet Allocation Approach

Fabio Clarizia, Francesco Colace, Francesco Pascale, Marco Lombardi, Domenico Santaniello
The detection and analysis of sentiment in textual communication is a topic attracting attention in both academia and industry. In fact, thanks to the explosion of the Social Networks a wealth of information is produced every day. This huge amount of contents can be very helpful in assessing the general...
Proceedings Article

Analysis of privacy profiles applying fuzzy clustering techniques

Aigul Kaskina, Oleksii Tyshchenko
Unsolved roots of ``privacy paradox'' motivate researchers to extricate the underlying reasons of such phenomenon. In the field of privacy research, the majority of empirical studies lack the availability of the real data collected from the actual platform instead of data received from the experimental...
Proceedings Article

Fault Tolerant Control Design Based on Takagi-Sugeno Fuzzy Logic: Application to a Three-Tank System

Himanshukumar Patel, Vipul Shah
This paper deals with a novel Fault-Tolerant Control (FTC) strategy for non-linear systems without hardware redundancy in case of actuator and system component failures. These failures correspond to blocking or loss of effectiveness of an actuator, leakage of tank bottom and pipes which could lead to...
Proceedings Article

Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions

Aykut Beke, Tufan Kumbasar
In this paper, we propose a novel activation function, namely, Interval Type-2 Fuzzy (IT2) Rectifying Unit (FRU), to improve the performance of the Deep Neural Networks (DNNs). The IT2-FRU can generate linear or sophisticated activation functions by simply tuning the size of the footprint of uncertainty...
Proceedings Article

On fuzzy approximation operators and fuzzy transformation systems

Sutapa Mahato, S.P. Tiwari
The objective of this paper is to establish the relationship between fuzzy approximation operators and fuzzy transformation systems. We show that for each upper/lower fuzzy transformation system there exits a fuzzy approximation space induced by a fuzzy reflexive relation and vice-versa.
Proceedings Article

Many-level fuzzy rough approximation spaces induced by many-level fuzzy preorders and the related ditopological structures

Alexander Sostak, Ingrida Uljane, Aleksandrs Elkins
In this paper, we present a many-level version for the Pawlak - Dubois and Prade theory of rough approximation of fuzzy sets. Basing on the many-level upper and lower fuzzy rough approximation operators, we define the measure of rough approximation that in a certain sense characterizes the quality of...
Proceedings Article

Nuclei and conuclei on Girard posets

David Kruml, Jan Paseka
It is well-known that the semantics of a given fuzzy logic can be formally axiomatized by means of a residuated poset. Based on a notion of dualizing (cyclic) element we introduce the notion of a Frobenius (Girard) poset. With this paper we hope to contribute to the theory of Frobenius posets and Girard...
Proceedings Article

Personalized Linguistic Information: A Framework of Granular Computing

Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Raquel Ureña, Enrique Herrera-Viedma
In group decision making, the usage of linguistic information entails the requirement for computing with words, a methodology in which words from a natural language are the computational elements. Recently, a new approach based on a framework of granular computing has been applied to cope with linguistic...
Proceedings Article

Modeling Implicit Feedback and Latent Visual Features for Machine-Learning Based Recommendation

Yue Guan, Qiang Wei, Guoqing Chen, Xunhua Guo
With the rapid accumulation of rich media data on the Internet, this paper proposes a Multi-View Bayesian Personalized Ranking (MVBPR) recommendation model that combines visual and textual contents, along with uncertainty modeling in consumer preferences and in visual representation in forms of implicit...
Proceedings Article

Missing Values and Indeterminable Values in Fuzzy Relational Compositions

Nhung Cao
Four-valued logics were developed from three-valued logics aiming at creating tools dealing with missing values and indeterminable values at the same time in computer science. In this paper, we are motivated by the formation of such four-valued logics and construct a new set of operations able to work...
Proceedings Article

Application of Non-additive Measures and Integrals for Analysis of the Importance of Party Positions for Voting

Alexander Lepskiy, Vladimir Smolev
The paper shows the possibility of applying the tool of non-additive measures and the belief functions theory to solving a number of problems of significance analysis and conflict of the political party positions. The study was performed on a database of online polls of parties in Germany before the...
Proceedings Article

Clustering a body of evidence based on conflict measures

Andrey Bronevich, Alexander Lepskiy
In real applications, sometimes it is necessary to evaluate inner or external conflict of pieces of evidence. However, these numerical values cannot give us explanations why this conflict occurs. Thus, we need deeper analysis of available information. In the paper, we propose the clusterization of a...
Proceedings Article

Quasi-i-Boolean algebras vs. quasi-m Boolean algebras

Afrodita Iorgulescu
We prove the categorically equivalence between the quasi-implicative-Boolean algebras and the quasi-m Boolean algebras, a generalization of the categorically equivalence between the implicative-Boolean algebras and the Boolean algebras.
Proceedings Article

Translating Classical Probability Logics into Modal Fuzzy Logics

Paolo Baldi, Petr Cintula, Carles Noguera
This paper is a contribution to the study of two distinct kinds of modal logics for modeling uncertainty. Both approaches use logics with a two-layered syntax, but while one employs classical logic on both levels, the other involves a suitable system of fuzzy logic in the upper layer. We take two prominent...
Proceedings Article

Vascular Network Analysis with Manual and Automatic Segmentation Using Fuzzy Mathematical Morphology

Pedro Bibiloni, Manuel González-Hidalgo, Amau Mir, Nuria Prats-Domínguez
The inhibition of new vessel creation, or anti-angiogenesis, has therapeutic interest. In this contribution, we introduce an automatic method to estimate objective indicators of new vessel creation. We use images of the chorioallantoic membrane of chicken embryos, some of which have been injected with...
Proceedings Article

Design of Interval Type 2 Fuzzy Fault-Tolerant Controller for a Non-Minimum Phase System: Application to quadruple conical tank system

Himanshukumar Patel, Vipul Shah
Quadruple Conical Tank System (QCTS) is benchmark a laboratory setup for testing of various linear and nonlinear control algorithms for the multivariate control system. The multiple process conguration for multivariate input-output can be obtained from quadruple conical tank system. This article is concerned...
Proceedings Article

Uncertainty of value and structure

Patrik Eklund, Magnus Löfstrand
In this paper we show how `uncertainty of information' traditionally focuses mostly on `uncertainty' leaving `information' mostly as unravelled. We also try to explain why that is so, and we then provide suggestions on how to overcome this situation, in particular in work on applications involving information...
Proceedings Article

A new approach to Color Edge Detection

Pablo Flores, Daniel Gomez, Javier Castro, Guillermo Villarino, Javier Montero
Most edge detection algorithms deal only with grayscale images, and the way of adapting them to use with RGB images is an open problem. In this work, we explore different ways of aggregating the color information of a RGB image for edges extraction, and this is made by means of well-known edge detection...
Proceedings Article

Automatic Generation of a Type-2 Fuzzy System for Time Series Forecast based on Genetic Programming

Marco Antonio Cunha Ferreira, Ricardo Tanscheit, Marley Vellasco
This work describes the development of a type 2 Fuzzy Inference System by using Genetic Programming for applications in time series forecasting. The resulting model, called GPFIS-Forecast+ is based on the GPFIS-Forecast created previously, which made use of Multigene Genetic Programming an provided good...
Proceedings Article

e-Operators on the Extension of Lattice-valued (U,N)-implications

Eduardo Palmeira, Benjamin Bedregal, Graçaliz Dimuro
Generalize fuzzy operators for the framework of lattices is the main objective of many recent researches. Here we present a study about how to define lattice-valued (U,N)-implications i.e. the class of implications generated from a uninorm U and a fuzzy negation N. Moreover, we discuss about its extension...
Proceedings Article

Personalized linguistic summaries in smartphone-based monitoring of bipolar disorder patients

Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz, Monika Dominiak, Łukasz Święcicki
Personalized linguistic summaries are developed with the use of protoforms in the sense of Yager and Kacprzyk. We discuss the construction and usefulness of such patient-dependent and disease-state-dependent linguistic summaries that may be examplified as `Most outgoing calls in mania state (disease...
Proceedings Article

A New Method for Attributes Selection in Intuitionistic Fuzzy Models

Eulalia Szmidt, Janusz Kacprzyk, Paweł Bujnowski
We present a new method for attribute selection for models with attribute values expressed via Atanassov's intuitionistic fuzzy sets (IFSs, for short). The three term representation of the IFSs makes it possible to construct a transparent and justified function that enables to select attributes...
Proceedings Article

Solid Waste Disposal Site Selection by Using Neutrosophic Combined Compromise Solution Method

Ali Karaşan, Eda Bolturk
Combined Compromise Solution (COCOSO) method is a combination of different aggregation strategies that aim to find final scores of the alternatives with respect to determined criteria based on decision makers’ judgements. This method is extension of simple additive weighting and exponentially weighted...
Proceedings Article

Some Remarks on the Generalized Scheme of Reduction to Absurdity and Generalized Hypothetical Syllogism in Fuzzy Logic

Katarzyna Miś, Michal Baczynski, Piotr Helbin
In this paper we investigate two generalizations, in fuzzy logic, of classical scheme of reduction to absurdity. We compare them with two possible generalizations of classical hypothetical syllogism (in fuzzy logic) and we show that generalized hypothetical syllogism is more general. We present new results...
Proceedings Article

Exploiting Particle Swarm Optimization to Attune Strong Fuzzy Partitions Based on Cuts

Ciro Castiello, Corrado Mencar
Cut-based strong fuzzy partitions (SFP) are characterized by cuts, i.e. points in the universe of discourse where the non-zero membership degrees of the fuzzy sets in the partition is 0.5. Cuts are useful to identify the most representative regions for the fuzzy sets involved in a SFP but pose loose...
Proceedings Article

Typical Hesitant Fuzzy Sets: Evaluating Strategies in GDM Applying Consensus Measures

Mônica Lorea Matzenauer, Renata Reiser, Helida Santos, Benjamin Bedregal
This work studies typical hesitant fuzzy sets (THFS) which can be used in group decision making (GDM) due to the possibility of more flexible values for expressions given by a group of decision makers, instead of using only one value resulting from aggregation expressing their preferences. Besides,...
Proceedings Article

Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP

Cengiz Kahraman, Basar Oztaysi, Sezi Cevik Onar
The performance of law offices can be comparatively measured by multicriteria decision making methods. Linguistic assessments can be used in this process rather than exact numerical evaluations. The performance evaluation is generally realized in a vague and imprecise environment. Fuzzy set theory is...
Proceedings Article

Computing Sentiment Analysis through Aspect-based fuzzy Aggregations

Jesus Serrano-Guerrero, Jose Angel Olivas, Francisco P. Romero
The expression of a general opinion on a product or service may sometimes be broken down into different sub-opinions on the different aspects which characterise such a product or service. Sometimes, the general opinion about a product does not have to be the average of the other sub-opinions, but other...
Proceedings Article

Aggregation functions based on the Choquet integral applied to image resizing

Jéssica Camila Saldivia Bueno, Camila Alves Dias, Graçaliz Pereira Dimuro, Helida Santos, Eduardo Nunes Borges, Giancarlo Lucca, Humberto Bustince
The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of problems that are handled by these techniques has complex information to be identified....
Proceedings Article

Towards Memory Access Optimization in Quantum Computing

Mateus Nascimento, Anderson Avila, Renata Reisen, Mauricio Pilla
Due to the lack of quantum hardware, quantum simulation (QS) is the most common method to study quantum computing. Even so, simulators and simulations should be properly built to use the maxim computational power possible. This work focuses on the main problem related to the memory accesses, representing...
Proceedings Article

Study on n-Dimensional R-implications

Rosana Zanotelli, Renata Reiser, Benjamin Bedregal
R-implications are studied on Ln(U) considering the conditions under which main properties are preserved, and their representability from U to Ln(U) are also presented. Some results in the class of n-dimensional R-implications obtained from t-representable norms on Ln(U) are discussed.
Proceedings Article

Generating a Fuzzy Rule Based Classification System by genetic learning of granularity level using TOPSIS

Antonio Eloy de Oliveira Araujo, Renato Antonio Krohling
Fuzzy Rule Based Classification Systems (FRBCSs) are widely used tools in classification problems. An important aspect in the design of a FRBCS is the number of fuzzy labels per variable (granularity level), which significantly influences the performance of the fuzzy system. Another relevant issue to...
Proceedings Article

Flexible bootstrap based on the canonical representation of fuzzy numbers

Przemyslaw Grzegorzewski, Olgierd Hryniewicz, Maciej Romaniuk
A new resampling approach for simulating bootstrapped samples of fuzzy numbers is proposed. The secondary samples consist of fuzzy numbers which preserve the canonical representation (i.e., the value and ambiguity) of fuzzy numbers belonging to the primary sample, although may differ from the initial...
Proceedings Article

On the problem of possibilistic-probabilistic optimization with constraints on possibility/probability in the case of the weakest t-norm

Yulia Egorova, Alexandr Yazenin
In this paper we investigate the problem of possibilistic-probabilistic optimization with constraints on possiblity/probability. Fuzzy parameters of the problem are considered to be related by the weakest t-norm, random parameters are normally distributed. For solving the problem an equivalent stochastic...
Proceedings Article

On Hidden Conflicts of Belief Functions

Milan Daniel, Václav Kratochvíl
Hidden conflict of belief functions in the case where the sum of all multiples of conflicting belief masses being equal to zero was observed. Degrees of hidden conflict and of non-conflictness are defined and analyzed including full non-conflictness. The hidden conflict between two belief functions...
Proceedings Article

Uncertainty-aware similarity measures – properties and construction method

Patryk Żywica, Anna Stachowiak
A concept of uncertainty-aware similarity measure for interval--valued fuzzy sets is being defined and discussed. The aim of the paper is to support the opinion that both definition and construction of such measure should take into account the epistemic nature of compared incomplete (uncertain) information....
Proceedings Article

A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules

Carlos Fernandez-Basso, M. Dolores Ruiz, Miguel Delgado, Maria J. Martin-Bautista
Discovering new trends and co-occurrences in massive data is a key step when analysing social media, data coming from sensors, etc. Although, nowadays Data Mining is very useful and widely used for the industry, business and government, the main problem of application of machine learning or data mining...
Proceedings Article

Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators

Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński
In the article we first review some known results on fuzzy versions of the dominance-based rough set approach (DRSA) where we expand the theory considering additional properties. Also, we apply Ordinal Weighted Average (OWA) operators in fuzzy DRSA. OWA operators have shown a lot of potential in handling...
Proceedings Article

Fuzzy Multiset Clustering for Metagame Analysis

Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse
Developing agents for automated game playing is a demanding task in the general game production cycle. Especially the involvement of frequent balance changes after the release, e.g. as they often occur in collectible card games, require constant updates of the developed agent. The game's developers need...
Proceedings Article

Numerical Solution for Lotka-Volterra Model of Oscillating Chemical Reactions with Interactive Fuzzy Initial Conditions

Vinícius Wasques, Estevão Esmi, Laécio C. Barros, Peter Sussner
In this paper we study Lotka-Volterra model of oscillating chemical reactions via fuzzy differential equations, where the initial conditions are given by interactive fuzzy numbers. The concept of interactivity is associated with the notion of joint possibility distribution. The fuzzy solution is given...
Proceedings Article

Logical clustering approach for analysing digital economy and society performance of countries

Jovana Rakićević, Aleksandar Rakićević, Ana Poledica
Digitisation, digitalisation and digital transformation represent one of the primary incentives of today’s development. To successfully implement these changes, countries need to create smart digital policies which are evidence- and data-based. The study presented in this paper uses the logical clustering...
Proceedings Article

Fuzzy modeling to 'understand' personal preferences of mHealth users: a case study

Raoul Nuijten, Uzay Kaymak, Pieter Van Gorp, Monique Simons, Pauline Van Den Berg, Pascale Le Blanc
This case study evaluates to what extent personal preferences can be automatically derived from user event data in an mHealth setting. Based on a theoretical framework, user preferences are described using six classes. Based on this framework, a structure of six Takagi-Sugeno fuzzy inference systems...
Proceedings Article

Graphical analysis of the progression of atrial arrhythmia through an ensemble of Generative Adversarial Network Discriminators

Nahuel Costa, Jesus Fernandez, Inés Couso, Luciano Sanchez
Logs of arrhythmia episodes in patients with pacemakers are used to estimate the temporal progression of atrial arrhythmia. In order to attain an early detection, a stream of dates and episode lengths are fed to an array of detectors, each of which is responsive to a narrow range of arrhythmias. The...
Proceedings Article

A Case Study on Wildfire Propagation Modelling Using Evolving Rule Based Fuzzy Cognitive Maps

Joao Paulo Carvalho, Pedro Gregorio
Fuzzy Cognitive Maps (FCM) and other Dynamic Cognitive Maps (DCM) were originally developed as mechanisms to simulate the evolution of complex qualitative dynamic systems. In this paper we present a case study where we show that Evolving DCM (specifically Evolving Rule Based Fuzzy Cognitive Maps, Ev-RBFCM)...
Proceedings Article

Managing temporal uncertainty in multi-mode Z-number fuzzy graph structures

Margarita Knyazeva, Alexander Bozhenyuk, Uzay Kaymak
In this paper we introduce an NP-hard optimization problem and examine preferences of decision-maker towards imprecise alternatives (modes) in a fuzzy temporal graph structure model. Fuzzy Z-number preference matrix is introduced and types of generalized precedence relations in fuzzy multimode resource-constrained...
Proceedings Article

Abductive reasoning in normal residuated logic programming via bipolar max-product fuzzy relation equations

David Lobo, Maria Eugenia Cornejo Piñero, Jesús Medina
Fuzzy relation equations have recently been extended to a more general framework in which the unknown variables appear together with their logical negation connectives, giving rise to the called bipolar fuzzy relation equations. This paper shows an abductive procedure for a special kind of normal residuated...
Proceedings Article

A Characterization of Uninorms by Means of a Pre-order they Induce

Dana Hliněná, Martin Kalina
In Hlinena et al. (2014) the authors, inspired by Karacal and Kesicioglu (2011), introduced a pre-order induced by uninorms. This contribution is devoted to a classification of families of uninorms by means of types of pre-orders (and orders) they induce. Philosophically, the paper follows the original...
Proceedings Article

Bigfoot Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors

Lucas José Carneiro Maciel, Jônatas Alves, Vinicius F. dos Santos, Loïc Cerf
Fuzzy tensors encode to what extent n-ary predicates are satisfied. The disjunctive box cluster model is a regression model where sub-tensors are explanatory variables for the values in the fuzzy tensor. In this article, the most informative patterns according to that model, with high areas times squared...
Proceedings Article

Fuzzy approach based money laundering risk assessment

Maris Krastins
This paper introduces solution for numeric evaluation of money laundering risk containing several different risk factors. For this purpose we consider the options for aggregation of risk factors and obtaining consolidated risk level. The proposed models are constructed using maximum t-conorm and Łukasiewicz...
Proceedings Article

An approach to vocabulary expansion for neural network language model by means of hierarchical clustering

Pavel V. Dudarin, Nadezhda G. Yarushkina
Neural network language models become the main tool to solve tasks in NLP field. These models already have shown state-of-the-art results in classification, translation, named entity recognition and so on. Pre-trained models are distributed freely in the internet, and could be reused with help of transfer...
Proceedings Article

Modeling CDC in a fuzzy description logic A comparison of different approaches

Martin Unold, Christophe Cruz
Relative information about locations of places can be described using the cardinal direction calculus (CDC). Some extensions of the calculus allow to express vague information and others include nearness/closeness. The development of description logics for qualitative spatial calculi has also been done....
Proceedings Article

Free Mechanical Vibrations Models via p-fuzzy Systems

Laécio C. Barros, Daniel Sanchez, Rodolfo Lobo, Estevão Esmi
In this work, we use a Mamdani fuzzy controller based on fuzzy rules that represent position and velocity of a particle for a free mechanical vibration model. Here, we focus on three major cases: the harmonic oscillator, the damped vibration, and the negative damping case. This study combines classical...
Proceedings Article

Forecasting Cryptocurrency Time Series Using Fuzzy Transform, Fourier Transform and Fuzzy Inference System

Srdjan Jelinek, Ana Poledica, Bratislav Petrović, Pavle Milošević
In this paper we propose a new approach for forecasting the cryptocurrency time series, which combines the fuzzy transform and the fuzzy inference system. We also test whether fuzzy transform yields better results forecasting results in comparison to Fourier transform. Finally, we will investigate whether...
Proceedings Article

For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Fuzzy Numbers Than General Fuzzy Sets

Oscar Galindo, Vladik Kreinovich
Need for faster and faster computing necessitates going down to quantum level -- which means involving quantum computing. One of the important features of quantum computing is that it is reversible. Reversibility is also important as a way to decrease processor heating and thus, enable us to place more...
Proceedings Article

Prediction quality of Bayesian belief network model for risky behavior: comparison of subsamples with different rates

Alena Suvorova, Alexander Tulupyev
The study investigates the proposed approach for behavior modeling on the base of Bayesian belief networks that allows predicting behavior characteristics using small and incomplete data from surveys about behavior episodes. We explored the prediction quality of the models in case of rare behavior. The...
Proceedings Article

Outlier Detection in Location Based Systems By Using Fuzzy Clustering

Basar Oztaysi, Sezi Cevik Onar, Cengiz Kahraman
Customer segmentation has been one of most important decision in marketing. In general, demographics of customers, monetary value of customer transactions, types of product/service used are the sources of segmentation process. In recent years, new technology enabled new sources of data. On of these new...
Proceedings Article

Two theorems from extreme value theory for interval valued events

Katarína Čunderlíková
In papers \cite{BartkovaCunderlikova18, BartkovaCunderlikova18p} we proved the Fisher-Tippett-Gnedenko theorem and the Pickands-Balkema-de Haan theorem on family of intuitionistic fuzzy events. Since between the intuitionistic fuzzy events and the interval valued events exist a connection, so we try...
Proceedings Article

Type-2 Fuzzy Logic Approach for Overloaded Hosts in Consolidation of Virtual Machines in Cloud Computing

Bruno Moura, Guilherme Schneider, Adenauer Yamin, Mauricio Pilla, Renata Reiser
Dynamic consolidation of virtual machines (VMs) is an effective way to improve resource utilization and power efficiency in cloud computing. Determining when it is best to relocate VMs from an overloaded host is one aspect of dynamic VM consolidation that directly influences the resource utilization...
Proceedings Article

Interpolative Boolean Algebra for Generalizations of Intuitionistic Fuzzy Sets

Pavle Milošević, Bratislav Petrović
The idea of this paper is to investigate intuitionistic fuzzy set (IFS) generalizations and make one step further into that direction by introducing interpolative Boolean algebra (IBA) to Liu’s generalized IFS. First, we aim to give an overview of the existing attempts to generalize or alter the definition...
Proceedings Article

A debate model for cooperative agents to achieve common objectives

Abdelhak Imoussaten, Jacky Montmain
We consider the situation where a group of agents are involved in the achievement of a common goal. Each agent owns a set of actions that are partial solutions for the problem to be solved. Moreover, different agents may have the same actions. In order to decide which action to select from different...
Proceedings Article

An Approach Towards Image Edge Detection Based on Interval-Valued Fuzzy Mathematical Morphology and Admissible Orders

Peter Sussner, Lisbeth Corbacho Carazas
Edge detection is an important step for pre-processing digital images before more advanced methods of image analysis such as segmentation can be applied. There are an infite number of edge detectors that can be derived from pairs of fuzzy dilation and erosion operators. Usually, an edge detector is based...
Proceedings Article

Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm

Yoshifumi Kusunoki, Keiji Tatsumi
We study a multiclass extension of support vector machine (SVM) based on geometric margin maximization. Since there are different margins for different class-pairs, the maximum-margin SVM can be formulated as a multiobjective optimization problem. This multiobjective multiclass SVM (MMSVM) is difficult...
Proceedings Article

2-Tuple Linguistic Integrated Group Decision Making Methodology for E-Commerce Strategy Selection

Gulcin Buyukozkan, Deniz Uztürk
2-Tuple linguistic model, which is a fuzzy logic based linguistic decision-making tool, enables the use of multi-granulated linguistic variables in decision making. This property facilitates the decision-making process for decision makers (DMs) and provides a comfortable decision-making environment for...
Proceedings Article

Pattern Classification on Complex System Using Modified Gustafson- Kessel Algorithm

Miguel Khatounian Filho, Leo Koki, Renato Aguiar
This work has been focused in the application of Gustafson- Kessel Algorithm in a complex system through a methodology proposed. The complex system here considered will be the financial market. So, the main objective of this paper is to classify objects in two patterns: winner and loser. The methodology...
Proceedings Article

Modelling competing theories

Willem Conradie, Andrew Craig, Alessandra Palmigiano, Nachoem Wijnberg
We introduce a many-valued semantics for basic normal lattice-based modal logic. This semantics is based on reflexive many-valued graphs. We discuss an interpretation and possible applications of this logical framework in the context of the formal analysis of the interaction between (competing) scientific...