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

Clustering with Interval-valued Fuzzy Sets

Ramón González del Campo, Jose Luis González
Interval-Valued Fuzzy Sets handle uncertainty and vagueness effectively. These features are particularly useful for clustering. In this paper it is showed the utility of Interval-Valued Fuzzy Sets for clustering with no accurate information. An easy method for clustering is proposed by generating transitive...

WOWA operators in fuzzy context sequences

Cristina Alcalde, Ana Burusco
In some cases, the relationship between an object set X and an attribute set Y is set up by means of a fuzzy context sequence. A particular case of this situation appears when we want to study the evolution in time of a fuzzy context. In this work, we deepen in the study of these situations. First we...

Biased experts and similarity based weights in preferences aggregation

Gleb Beliakov, Simon James, Laura Smith, Tim Wilkin
In a group decision making setting, we consider the potential impact an expert can have on the overall ranking by providing a biased assessment of the alternatives that differs substantially from the majority opinion. In the framework of similarity based veraging functions, we show that some alternative...

Uncertain opinion formation based on the bounded confidence model.

Haiming Liang, Yucheng Dong, Cong-Cong Li
Opinion formation is well used to investigate a consensus or several clusters among the opinions of a group of interaction agents. This study proposes several bounded confidence models to discuss the uncertain opinion formation. In the proposed models, the agents’ various tolerances (zero-tolerance,...

An Interval Valued K-Nearest Neighbors Classifier

Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera
The K-Nearest Neighbors (k-NN) classifier has become a well-known, successful method for pattern classification tasks. In recent years, many enhancements to the original algorithm have been proposed. Fuzzy sets theory has been the basis of several proposed models towards the enhancement of the nearest...

Method for the minimum cost maximum flow determining in fuzzy dynamic network with nonzero flow bounds

Alexander Bozhenyuk, Evgeniya Gerasimenko, Igor Rozenberg, Irina Perfilieva
In this paper the method for the minimum cost flow determining in fuzzy dynamic network with nonzero lower flow bounds is proposed. Considered method takes into account fuzzy nature of networks’ parameters and deals with fuzzy arc flow bounds, fuzzy transmission costs. Fuzzy arc flow bounds, costs and...

Modulo similarity in comparing histograms

Pasi Luukka, Mikael Collan
Histograms are a tool for graphical representation of frequency data and thus helpful in creating a fast understanding of, e.g., contents of frequency data. Comparing histograms is topic of increasing importance due to an increase in the availability of data sets containing frequency information. Automatic...

Regular fuzzy equivalences on multi-mode multi-relational fuzzy networks

Miroslav Ciric, Jelena Ignjatovic, Ivan Stankovic
In this paper we introduce the concepts of a multimode multi-relational fuzzy network and a regular fuzzy equivalence on such a network, and provide procedures for computing the greatest regular fuzzy and crisp equivalences contained in a given tuple of fuzzy equivalences.

Bisimulations in fuzzy social network analysis

Jelena Ignjatovic, Miroslav Ciric, Ivan Stankovic
In this paper we introduce two types of simulations and five types of bisimulations for fuzzy social networks, and we study one of them – regular bisimulations. We prove that if there exists at least one regular bisimulation between two fuzzy networks, then there exists the greatest bisimulation of this...

Fast String Searching Mechanism

Petr Hurtik, Petra Hodakova, Irina Perfilieva
The goal of this study is to introduce a novel exact string searching (i.e., matching) method based on the fuzzy transform, or F-transform (FTSS). The theoretical background of the F-transform, specifically the Fs-transform, s 0, for functions of one variable is reviewed, and a string searching algorithm...

Detecting similarity of R functions via a fusion of multiple heuristic methods

Maciej Bartoszuk, Marek Gagolewski
In this paper we describe recent advances in our R code similarity detection algorithm. We propose a modification of the Program Dependence Graph (PDG) procedure used in the GPLAG system that better fits the nature of functional programming languages like R. The major strength of our approach lies in...

New correlation coefficients for hesitant fuzzy sets

Teresa González-Arteaga, José Carlos R. Alcantud, Rocio de Andrés Calle
The previous correlation measures for hesitant fuzzy sets proposed in the literature only capture the strength of the correlations. We present a new approach based on the classical Pearson correlation coefficient for crisp values. In this way we can express not only the strength of the relationship between...

Hard and Fuzzy c-Medoids for Asymmetric Networks

Yousuke Kaizu, Sadaaki Miyamoto, Yasunori Endo
Medoid clustering frequently gives better results than those of the K-means clustering in the sense that a unique object is the representative element of a cluster. Moreover the method of medoids can be applied to nonmetric cases such as weighted graphs that arise in analyzing SNS(Social Networking Service)...

Axiomatic generalizations of OWA operators

Anna Kolesárová, Radko Mesiar, Andrea Stupnanová
Axiomatic generalizations of OWA operators are introduces and discussed. First, OMA operators based on comonotone modularity are recalled. Then, several kinds of comonotone pseudo-additivity based OWA generalizations are characterized and exemplified. Some of already known OWA generalizations are thus...

FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery

Cristobal J. Carmona, Pedro González, María José del Jesús
Evolutionary Fuzzy Systems (EFSs) are fuzzy systems augmented by a learning process based on evolutionary computation such as evolutionary algorithms (EAs). These systems contribute with several advantages in the development of algorithms, and specifically in the development of subgroup discovery (SD)...

Generalized Recurrent Exponential Fuzzy Associative Memories Based on Similarity Measures

Aline Cristina de Souza, Marcos Eduardo Valle, Peter Sussner
The recurrent exponential fuzzy associative memory (RE-FAM) can be viewed as a recurrent neural network that employs a fuzzy similarity measure in its hidden layer. This paper introduces the generalized recurrent exponential fuzzy associative memory (GRE-FAM). In contrast to the RE-FAM, the GREFAM is...

Reduction of Fuzzy Rule Bases Driven by the Coverage of Training Data

Michal Burda, Martin Stepnicka
We present a technique for size reduction of a base of fuzzy association rules which is created using an automated approach and which is intended for inference. Our approach is based on controlling the coverage of training data by the rule base and removing only such rules that do not increase that coverage....

Time Series Classification with Linguistic Summaries

Katarzyna Kaczmarek, Olgierd Hryniewicz
Soft computing techniques may provide various forms of human-consistent summaries about large time series databases, e.g., linguistic summaries, frequent patterns, fuzzy IF-THEN rules. Within this research, we focus on linguistic summaries constructed as linguistically quantified propositions, that may...

Automatic Linguistic Feedback in Computer Games

Clemente Rubio-Manzano, Gracian Trivino
This paper presents a new technology for automatically generating linguistic reports and immediate feedback from actions performed by players during play sessions. These reports allow us to provide players with a more complete and personalized feedback about their behaviors, abilities, attitudes, skills...

Learning experts’ preferences from informetric data

Marek Gagolewski, Jan Lasek
In the field of informetrics, agents are often represented by numeric sequences of non necessarily conforming lengths. There are numerous aggregation techniques of such sequences, e.g., the g-index, the h-index, that may be used to compare the output of pairs of agents. In this paper we address a question...

Fuzzy and probabilistic choice functions: a new set of rationality conditions

Davide Martinetti, Susana Montes, Susana Díaz, Bernard De Baets
Probabilistic and fuzzy choice theory are used to describe decision situations in which a certain degree of imprecision is involved. In this work we propose a correspondence between probabilistic and fuzzy choice functions, based on implication operators. Given a probabilistic choice function a fuzzy...

Recommending scientific papers through a method based on bibliometric measures

Álvaro Tejada-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
We present a quality-based fuzzy linguistic recommender system for researchers. We propose the use of some bibliometrics measures as the way to quantify the quality of both items and users. The system takes into account the measured quality as the main factor for the re-ranking of the top-N recommendations...

How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model

Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
The more skills a student acquires, the more successful this student is with the corresponding tasks. Empirical data shows that the success in a task grows as a logistic function of skills; this dependence is known as the Rasch model. In this paper, we provide two uncertainty-based justifications for...

A Fuzzy Expert Model of Haptic Perception for Automobile Touch-Screen Displays

Liviu-Cristian Dutu, Gilles Mauris, Philippe Bolon, Jean-Marc Tissot
Haptic feedback is currently emerging as a feasible solution to cope with the security-related issues of automobile touch-screen displays, and at the same time to improve users satisfaction and quality of use. Therefore, we have developed a fuzzy symbolic model of haptic perception for automobile interfaces...

A Linear-Complexity Rule Base Generation Method for Fuzzy Systems

Liviu-Cristian Dutu, Gilles Mauris, Philippe Bolon
Rule base generation from numerical data has been a dynamic research topic within the fuzzy community in the last decades, and several well-established methods have been proposed. While some authors presented simple, empirical approaches, but which generally show high error rates, others turned to complex...

The role of Precise and Imprecise Syllogisms in the di-agnosis of reasoning deficits in mental disorders

Alejandro Sobrino, Martín Pereira-Fariña
In this paper we will inquiry about the role of precise and imprecise syllogisms for diagnosing reasoning im-pairments in people suffering some mental disorders. Additionally, we propose some new questions that can help to better understand the already studied deficits and, perhaps, to progress in the...

A K-means-like algorithm for informetric data clustering

Anna Cena, Marek Gagolewski
The K-means algorithm is one of the most often used clustering techniques. However, when it comes to discovering clusters in informetric data sets that consist of non-increasingly ordered vectors of not necessarily conforming lengths, such a method cannot be applied directly. Hence, in this paper, we...

Regular fuzzy equivalences and regular fuzzy quasi-orders

Ivana Micic, Zorana Jancic, Ivan Stankovic
The notion of social roles is a centerpiece of most sociological theoretical considerations. Regular equivalences arise as a result of an attempt to capture the sociological notion of a relational or structural role. Regular equivalences were introduced by White and Reitz in [28] as the least restrictive...

Developing Membership Functions and Fuzzy Rules from Numerical Data for Decision Making

Dilip Kumar Yadav, Harikesh Bahadur Yadav
Nowadays, decision making using fuzzy logic is a ma-jor research area for scientists, researchers and project managers. Construction of membership functions and fuzzy rules from numerical data is very important in various applications of the fuzzy set theory. Therefore, in this paper a model is proposed...

An Extension of Fuzzy Deformable Prototypes for predicting student performance on Web-based Tutoring Systems

M. Rosario Vázquez, Francisco P. Romero, Jorge Ruiz-Vanoye, Jose A. Olivas, Jesus Serrano-Guerrero
This paper presents an extension of Fuzzy Deformable Prototypes (FDPs) based on the use of interval type-2 fuzzy sets. The aim is to improve FDPs’ capabilities for managing uncertainty and imprecision. This extension is applied to predict the academic performance of the students who make use of Web-based...

Fuzzy choice functions, consistency, and sequential fuzzy choice

José Carlos R. Alcantud, Susana Díaz
In the setting of fuzzy choice functions (Georgescu [6]), we explore the relationships among known and new consistency axioms. Then we define the notion of sequential application of fuzzy choice functions, and investigate its normative implications. The Fuzzy Arrow Axiom is preserved by this sequential...

Information retrieval from interval-valued fuzzy automata through K operators

Inmaculada Lizasoain, Marisol Gómez, Cristina Moreno
Here we study the notions of lattice-valued finite state machine and lattice-valued fuzzy transformation semigroup when the lattice consists of all the closed subintervals contained in [0, 1]. So, we can apply techniques of interval-valued fuzzy sets to fuzzy automata. In particular, we prove that Atanassov’s...

Improving medical decisions under incomplete data using interval–valued fuzzy aggregation

Patryk Zywica, Andrzej Wójtowicz, Anna Stachowiak, Krzysztof Dyczkowski
We state a problem concerning how to make an effective and proper decision in the presence of data incompleteness. As an example we consider a medical diagnostic system where the problem of missing data is commonly encountered. We propose and evaluate an approach that makes it possible to reduce the...

Group decision aiding by Interval AHP with compromise and refinement

Masahiro Inuiguchi, Tomoe Entani
Interval AHP was proposed to express the decision maker’s vague evaluations on criteria by interval weights from a given pairwise comparison matrix. It has been extended to group decision problems. Three complementary approaches have been proposed: the perfect incorporation approach for counting out...

Intuition based Decision Methodology for Ranking Interval Type – II Fuzzy Numbers

Ahmad Syafadhli Abu Bakar, Alexander Gegov
Type – II fuzzy number is introduced in decision mak-ing analysis as a concept that is capable to effectively deal with uncertainty in the information about a deci-sion. As type – II fuzzy number is represented by possi-bility distribution, it is hard to determine which type – II fuzzy number is greater...

Ranking fuzzy sets and fuzzy random variables by means of stochastic orders

Ignacio Montes, Enrique Miranda, Susana Montes
This paper establishes a theory of decision making under uncertainty with fuzzy utilities. The extension of expected utility and stochastic dominance to the comparison of sets of random variables plays a crucial role. Their properties as fuzzy rankings are studied, and their definitions are further generalized...

Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems

Mikel Elkano, Mikel Galar, Jose Sanz, Humberto Bustince
In a previous work we proposed to enhance the performance of FARC-HD fuzzy classifier in multi-class classification problems using decomposition strategies. This synergy was further improved by introducing n-dimensional overlap functions in the learning algorithm and the inference of FARC-HD instead...

Comparative analysis of forecasting portfolio returns using Soft Computing technologies

Abel Rubio-Manzano, José D. Bermúdez, Enriqueta Vercher
We propose using fuzzy time series (FTS) to forecast the future performance of returns on portfolios. We model the portfolio selection problem by means of possibilistic moments, and approximate the uncertainty of the return on a given portfolio by trapezoidal fuzzy numbers. Some modifications into the...

Integration of mutual information and CRPSO-based fuzzy model for stock index forecasting

Jungwon Yu, Sungshin Kim
In this paper, the integration of mutual information (MI) and fuzzy model is proposed to predict stock indexes with complex and non-linear characteristics. Technical indicators are considered as initial input candidates and significant inputs are determined by MI-based input selection method. To identify...

On distances derived from symmetric difference functions

Isabel Aguiló, Tomasa Calvo, Javier Martín, Gaspar Mayor, Jaume Suñer
Once introduced a definition of symmetric difference function on the unit real interval [0,1], we consider a method to construct such functions based on a triplet formed by a t-norm, a t-conorm and a strong negation. Our main goal is to characterize those triplets that define symmetric difference functions...

A Bipartite Graph Based Competitiveness Degrees Analysis with Query Logs on Search Engine

Dandan Qiao, Qiang Wei, Jin Zhang, Guoqing Chen
Competitive intelligence analysis based on user gener-ated contents (UGCs) shows advantages on possessing the benefit of the wisdom of crowds, evading cognitive biases and timely updating. This paper investigates and constructs a bipartite graph model by extracting joint co-occurrence of competitors...

Study on the use of uninorm aggregation operators in linguistic fuzzy modeling

Juan M. Bardallo, Miguel A. De Vega, Francisco A. Márquez, Antonio Peregrín
This work aims to develop a practical study of the uni-norms as rule antecedent aggregation operator family in Linguistic Fuzzy Modeling. Although they are well known from a theoretical point of view, they have only recently been introduced in a few specific and recent applications. Uninorms are parameterized...

Fuzzy Covering based Rough Sets Revisited

Lynn D’eer, Chris Cornelis, Daniel Sánchez
In this paper we review four fuzzy extensions of the socalled tight pair of covering based rough set approximation operators. Furthermore, we propose two new extensions of the tight pair: for the first model, we apply the technique of representation by levels to define the approximation operators, while...

QUALE ®: A new Toolbox for Quantitative and Qualitative Analysis of Human Perceptions

José M. Alonso, David P. Pancho, Luis Magdalena, Daniel A. Nuñez, Daniel S. Sánchez, Pablo F. Suárez, José Mingot, Valentín Iglesias
This paper presents a software aimed at making easier the design of customized products in accordance with consumers’ expectations. It is based on a user-centered design methodology which combines techniques provided by Kansei Engineering, Sensory Analysis, and Soft Computing. Consumers’ expectations...

Rough Classification in Incomplete Databases by Correlation Clustering

Laszlo Aszalos, Tamás Mihálydeák
In the context of data mining, missing data can be handled in several ways. The most common is the artificial construction of missing data, but we can predict it, or transform the whole database in a fuzzy way. In this article we propose a different approach: we extend our rough classification to incomplete...

Fuzzy-enhanced path-finding algorithm for AGV roadmaps

Sarah Uttendorf, Ludger Overmeyer
Path-finding algorithms (PFA) are successfully used to find the optimal path between two locations. Good results are obtained if they are used in scenarios where the entire environment can be described mathematically. Production environments of automated guided vehicles (AGVs) are not one of those. PFA...

Mining Frequent Parallel Episodes with Selective Participation

Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse
We consider the task of finding frequent parallel episodes in parallel point processes, allowing for imprecise synchrony of the events constituting occurrences (temporal imprecision) as well as incomplete occurrences (selective participation). We tackle this problem with frequent pattern mining based...

Linguistic Aggregation Functions using the MapReduce Paradigm

Patricia Conde-Clemente, Gracian Trivino, José M. Alonso
We explore the possible benefit that provides a linguistic approach to Big Data. The proposal illustrates how implement Linguistic Aggregation Functions using the MapReduce paradigm. The best known paradigm applied to Big Data. The proposal allows several benefits to Big Data e.g., it allows to interpret...

Logic of prototypes and counterexamples: possibilities and limits

Thomas Vetterlein
Fuzzy sets are a popular tool to model vague properties. It is, however, well-known that this model usually involves a good degree of arbitrariness. In this contribution we consider the possibility of standardising the construction of fuzzy sets at least withregard to the borderline cases. To this end,...

A Survey on Fuzzy Differences

Francielle Santo Pedro, Laécio Carvalho de Barros, Luciana Takata Gomes
Several definitions of difference between fuzzy numbers are well established in literature: standard, Hukuhara, generalized Hukuhara, generalized, CIA and other differences based on joint possibility distributions. We present and compare them. An example of epidemiological model of a disease with direct...