Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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236 articles

A proposal for regime change/duration classification in chaotic systems

Priscilla Lopes, Ivana Yoshie Sumida, Heloisa A. Camargo, Haroldo De Campos Velho, Sandra Sandri
In order to to predict regime duration in a given chaotic system, for a set of output prototypes are available, we propose to use a clustering technique for the definition of classes of regime duration, which are then used by a chosen classifier. In this way, the exact boundaries between classes are...

Insights into Interpretability of Neuro-Fuzzy Systems

Marco Pota, Massimo Esposito
Neuro-fuzzy networks revealed their proficiency in learning from data, while offering a transparent and somehow interpretable rule-based model. Recent research focused either on the interpretability of the chosen model or on the system performance. Regarding the interpretability, here an index to control...

Transitivity of interval and fuzzy-interval extensions of interval functions

Heriberto Román-Flores, Yurilev Chalco-Cano
Let I = [a, b] be a real compact interval and ƒ : I I a continuous function. De ne Kc([a, b]) the class of all non empty compact subinterval of [a, b] and let the natural extension of ƒ to Kc([a, b]) , that is to say, (J) = ƒ(J) for all J ([a, b]). Also, let c([a, b]) the class of all fuzzy-intervals...

Iris recognition with 4 or 5 fuzzy sets

Nicolaie Popescu-Bodorin, Cristina M. Noaica, Patricia Penariu
In current literature, the degrading performances of iris recognition systems is put in user’s responsibility (Biometric Menagerie-BM), or explained through a va-gue mix of time-related changes in biometric pattern, its presentation and the acquisition sensor (Template Age-ing-TA). Actually, BM and TA...

Automatic image annotation refinement using fuzzy inference algorithms

Marina Ivašic-Kos, Miran Pobar, Slobodan Ribari
Facilitating tasks such as image search is one of the goals of image annotation methods that automatically assign keywords to images. In order to achieve as accu-rate annotation on object level as possible, and to reduce negative influence of misclassified objects on the infer-ence of scenes, a knowledge...

Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable

Olga Kosheleva, Vladik Kreinovich
Many physical theories accurately predict which events are possible and which are not, or – in situations where probabilistic (e.g., quantum) effects are important – predict the probabilities of different possible outcomes. At first glance, it may seem that this probabilistic information is all we need....

On interval pseudo-homogeneous uninorms

Lucelia Lima Costa, Benjamin Bedregal, Humberto Bustince, Marcus Rocha
In this paper, we introduce the concept of interval pseudo-homegeneous uninorms. We extend the concept of pseudo-homogeneity of specific functions for interval pseudo-homogeneous functions. It is studied two cases of interval pseudo-homogeneous uninorms, that is, interval pseudo-homogeneous tnorms and...

V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery

Angelica I. Aviles, Samar M. Alsaleh, Eduard Montseny, Alicia Casals
Robotic-Assisted Minimally Invasive Surgery is a very challenging task. Many vision-based solutions attempt to estimate the force by measuring the surface deformation after contacting the surgical tool. However, visual uncertainty, due to tool occlusion, is a major concern and can highly affect the results’...

Weighted Average Operators Generated by n-dimensional Overlaps and an Application in Decision

Ivanosca A. Da Silva, Benjamín Bedregal, Humberto Bustince
In this paper we provide a way to generate a class of weighted average operator from n-dimensional overlap functions and aggregation functions. These weighted average operators are used in an algorithm of a multiattribute group decision making problem based on decision matrix. An illustrative example...

Fuzzy probability distribution with VaR constraint for portfolio selection

Marcus Rocha, Lucelia Lima, Helida Santos, Benjamin Bedregal
This work aims at comparing two models of fuzzy distribution: Normal and Laplace, whenever they are inside the context of possibilistic mean-variance model described by Li et al. in [ ], where fuzzy Normal distribution is used. We propose to make a comparison using their model, but instead we apply fuzzy...

A perspective on the extension of stochastic orderings to fuzzy random variables

Inés Couso, Didier Dubois
In this paper we study how to make joint extensions of stochastic orderings and interval orderings so as to extend methods for comparing random variables, from the point of view of their respective location or magnitude, to fuzzy random variables. The main idea is that the way fuzzy random variables...

Gradual Complex Numbers

Emmanuelly Sousa, Regivan H. N. Santiago
This paper aims to introduce the concept of Gradual Complex Number (GCN) based on the existing definition of gradual numbers and to show that the algebraic and polar forms, as well as some algebraic properties, of complex numbers can be directly extended from the crisp case. Furthermore, a kind of distance...

An Approach for Uncertainty Aggregation using Generalised Conjunction/Disjunction Aggregators

Robin De Mol, Ana Tapia-Rosero, Guy De Tré
Decision Support Systems are often used in the area of system evaluation. The quality of the output of such a system is only as good as the quality of the data that is used as input. Uncertainty on data, if not taken into account, can lead to evaluation results that are not representative. In this paper,...

Combination of measurement uncertainty contributions via the generalized Dombi operator

Alessandro Ferrero, Marco Prioli, Simona Salicone, Wei Jiang
Possibility is considered as a promising mathematical tool to represent that particular case of incomplete information given by a measurement result. A measurement result can be affected by systematic and random effects. The combination of random contributions in the possibility theory returns only approximated...

Fuzzy Community detection based on grouping and overlapping functions

Daniel Gómez, J. Tinguaro Rodríguez, Javier Montero, Javier Yáñez
One of the main challenges of fuzzy community detection problems is to be able to measure the quality of a fuzzy partition. In this paper, we present an alternative way of measure the quality of a fuzzy community detection output based on n-dimensional grouping and overlapping functions that generalize...

An Approach to Interval Fuzzy Probabilities

Tiago Da Cruz Asmus, Graçaliz Pereira Dimuro, Benjamín Bedregal
Fuzzy sets and logic have been largely used for the treatment of the uncertainty, vagueness and ambiguity found in the modeling of real problems. However, there may exist also the case when there is uncertainty related to the membership functions to be used in the modeling of fuzzy sets and fuzzy numbers,...

ƒ-inclusion indexes between fuzzy sets

Nicolás Madrid, Manuel Ojeda-Aciego, Irina Perfilieva
We introduce the notion of f-inclusion, which is used to describe different kinds of subsethood relations between fuzzy sets by means of monotonic functions ƒ: [0, 1] [0, 1]. We show that these monotonic functions can be considered indexes of inclusion, since the greater the function considered, the...

Generalized stochastic orderings applied to the study of performance of machine learning algorithms for low quality data

Inés Couso, Luciano Sánchez
Usually, the expected loss minimization criterion is used in order to look for the optimal model that expresses a certain response variable as a function of a collection of attributes. We generalize this criterion, in order to be able to deal also with those situations where a numerical loss function...

Fuzzy resource-constrained project scheduling for GIS software development

Leonid Bershtein, Margarita Knyazeva, Igor Rozenberg
Resource-constrained project scheduling (RCPS) problem can be defined as a combinatorial problem of constructing a special plan for performing a number of precedence related tasks that have to be executed with the use of limited uncertain resources. In this paper we study the framework of a heuristic...

A note on optimality conditions to interval optimization problems

Yurilev Chalco-Cano, Rafaela Osuna-Gómez, Beatriz Hernández-Jiménez, Heriberto Román-Flores
In this article we examine to necessary and sufficient optimality conditions for interval optimization problems. We introduce a new concept of stationary point for an interval-valued function based on the gH-derivative. We show the importance the this concept from a practical and computational point...

Left and right compatibility of strict orders with fuzzy tolerance and fuzzy equivalence relations

Bernard De Baets, Lemnaouar Zedam, Azzedine Kheniche
The notion of extensionality of a fuzzy relation w.r.t. a fuzzy equivalence was first introduced by H¨ohle and Blanchard. B elohl´avek introduced a similar definition of compatibility of a fuzzy relation w.r.t. a fuzzy equality. In [14] we generalized this notion to left compatibility, right compatibility...

Application of the Intuitionistic Fuzzy InterCriteria Analysis Method to a Neural Network Preprocessing Procedure

Sotir Sotirov, Vassia Atanassova, Evdokia Sotirova, Veselina Bureva, Deyan Mavrov
The artificial neural networks (ANN) are a tool that can be used for object recognition and identification. However, there are certain limits when we may use ANN, and the number of the neurons is one of the major parameters during the implementation of the ANN. On the other hand, the bigger number of...

Integrated production and routing planning decisions under uncertainty: a case study

Manuel Díaz-Madroñero, David Peidro, Josefa Mula
In this paper, a fuzzy mathematical programming model is proposed to address integrated production and routing planning decisions which considers uncertain produc-tion and inventory capacities, as well as production, setup, inventory holding and transport costs. This pro-posal considers flexible constraints...

On the selection of m for Fuzzy c-Means

Vicenç Torra
Fuzzy c-means is a well known fuzzy clustering algorithm. It is an unsupervised clustering algorithm that permits us to build a fuzzy partition from data. The algorithm depends on a parameter m which corresponds to the degree of fuzziness of the solution. Large values of m will blur the classes and all...

Intuitionistic Fuzzy Implications and the Axioms of Intuitionistic Logic

Nora A. Angelova, Krassimir T. Atanassov
During years of research, there have been defined 153 intuitionistic fuzzy implications. In the paper, it is checked which of these implications satisfy which axioms of the intuitionistic logic, whether as (classical) tautologies or as intuitionistic fuzzy tautologies. Some open problems, related to...

On Intuitionistic Fuzzy Metric Neighbourhoods

Evgeniy Marinov, Peter Vassilev, Krassimir Atanassov
The concept of an intuitionistic fuzzy neighbourhood is introduced. This notion turns out to be more sensitive to variations in the different points of the universe compared to the standard neighbourhood definition of metric space. We apply the intuitionistic fuzzy neighbourhood to the extended modal...

On a New Intuitionistic Fuzzy Implication

Krassimir T. Atanassov
Here a new intuitionistic fuzzy implication is constructed. Its relations with some forms of Klir and Yuan’s axioms are studied. Some open problems, related to the operations of intuitionistic fuzzy propositional calculus, are formulated.

Autoassociative Fuzzy Implicative Memory on the Platform of Fuzzy Preorder

Irina Perfilieva, Marek Vajgl
We propose a new theoretical justification of implicative fuzzy associative memory. It is based on the notion of a fuzzy preorder operator. Moreover, we give a necessary and sufficient condition on input data that guarantees insensitivity to a certain type of noise. The latter is precisely characterized....

A new optimization approach for indoor location based on Differential Evolution

Antonio D. Masegosa, Alfonso Bahillo, Enrique Onieva, Pedro López-García, Asier Perallos
The growth of Location Based Services and Location Aware Services in indoor environments has focused the attention of the research community on indoor location systems, especially on those based on WLAN networks and Received Signal Strength (RSS). Despite the advances reached, the development of reliable,...

Modeling the consistency between the bony and facial chin outline in craniofacial superimposition

Carmen Campomanes-Alvarez, Oscar Ibanez, Oscar Cordon
Craniofacial superimposition is a forensic identification method involving the overlay of a skull over the available ante-mortem photographs of a candidate missing person face and the subsequent analysis of their anatomical correspondence. Within this process, the decision making stage focuses on determining...

Participatory Learning in Linked Open Data

Marek Z. Reformat, Ronald R. Yager
The introduction of Resource Description Framework (RDF) as a fundamental data representation format of Semantic Web is changing a way how data is stored on the Internet. The intrinsic features of RDF data, i.e., its interconnections and simplicity of expressing information as triples: two entities connected...

Natural Language Query Processing Framework for Biomedical Literature

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Mimmo Parente
The availability of huge amount of biomedical literature over the Web offers a big opportunity to carry out useful information about published research results. Nevertheless, these information are often enclosed in unstructured documents stressing the need to define suitable framework to support execution...

Linguistic Summarization of Processes – a research agenda

Anna Wilbik, Uzay Kaymak
Linguistic summarization offers novel ways of gaining insight into large amounts of data by extracting their main properties and representing them linguistically. Various linguistic summarization techniques have been proposed for data sets consisting of attribute-value pairs. However, many application...

Mining Emerging Gradual Patterns

Anne Laurent, Marie-Jeanne Lesot, Maria Rifqi
Mining emerging patterns aims at contrasting data sets and identifying itemsets that characterise a data set by contrast to a reference data set, so as to capture and highlight their differences. This paper considers the case of emerging gradual patterns, to extract discriminant attribute co-variations....

Flexibility in Patent Search

Stefania Marrara, Gabriella Pasi
Patent Retrieval is a branch of Information Retrieval (IR) aiming to support people in retrieving patents that satisfy their information needs. Patent Retrieval is a challenging task: usual queries involve a huge number of words - often entire patent claims; moreover the style of writing a patent is...

Stabilization for the T–S fuzzy system with the constrained control

Chung-Hsun Sun, Wen-June Wang
In this study, the stabilization for the Takagi-Sugeno (T-S) fuzzy discrete system with constrained controls is investigated. The derived stabilization conditions are based on the Lyapunov stability criterion with the piecewise quadratic Lyapunov function. The constrained control inputs are used to assess...