Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

+ Advanced search
156 articles

On the variety of equality algebras

Sándor Jenei, László Kóródi
Equality algebras has recently been introduced. A subclass of equality algebras, called equivalential equality algebras is closely related to BCK-algebras with meet. We show that the variety of equality algebras has nice properties: We shall investigate their congruences and filters and prove that the...

A low cost intelligent localization system based on a

O. Casanova, G.N. Marichal, J.L. González Mora, A. Hernández
This paper presents an alternative sensor fusion application in order to improve the accuracy on systems that use strapdown type inertial navigation. A neuro-fuzzy approach is shown, where the information captured by a camera is fused with the values obtained from a low cost inertial measurement unit....

Intelligent Control of an Inverted Pendulum by Self-Tunable Fuzzy PI-type Controller

Djamel Eddine Chaouch, Hichem Maaref
line Self-tunable PI-type fuzzy inference system with application of control approach to nonlinear system. In this paper, we describe a neuro-fuzzy controller as a STFIS (Self Tuning Fuzzy Inference System) optimized online using the rules of Takagi-Sugeno type, and a back propagation learning algorithm...

Incorporating Dynamic Uncertainties into a Fuzzy Classifier

Jens Hülsmann, Andreas Buschermohle, Werner Brockmann
Dealing with classification problems in practice often has to cope with uncertain information, either in the training or in the operation phase or both. Modeling these uncertainties allows to enhance the robustness or performance of the classifier. In this paper we focus on the operation phase and present...

Dynamical properties in the space of fuzzy numbers

Jiri Kupka
This paper is a contribution to the theoretical foundations of the theory of fuzzy dynamical systems. More precisely, we study relations between a given discrete dynamical system on the space X and its fuzzy counterpart - Zadeh's extension defined on the space of fuzzy sets on X. We provide a short...

Models-based Optimization Methods for the Specication of Fuzzy Inference Systems in Discrete EVent Simulation

Paul-Antoine Bisgambiglia, Bastien Poggi, Céline Nicolai
Fuzzy Inference Systems (FIS) have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description. This exibility of representation is more signicant for the study of complex systems. Our aims are to propose...

Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods.

Martin Stepnicka, Juan Peralta Donate, Paulo Cortez, Lenka Vavríková, German Gutierrez
Accurate time series forecasting are important for displaying the manner in which the past continues to affect the future and for planning our day to day activities. In recent years, a large literature has evolved on the use of computational intelligence in many forecasting applications. In this paper,...

Two Order Sliding Fuzzy Type-2 Control Based on Integral Sliding Mode for MIMO Systems

Malik Manceur, Najib Essounbouli, Abdelaziz Hamzaoui
A higher order sliding fuzzy type-2 controller scheme for an nth order multi-input multi-output (MIMO) nonlinear uncertain perturbed systems is proposed in the paper. To overcome the constraint on the knowledge of the system model, local models related to some operating points were used to synthesize...

A fast fuzzy c-means algorithm for color image segmentation

Hoel Le Capitaine, Carl Frélicot
Color image segmentation is a fundamental task in many computer vision problems. A common approach is to use fuzzy iterative clustering algorithms that provide a partition of the pixels into a given number of clusters. However, most of these algorithms present several drawbacks: they are time consuming,...

Fuzzy Transforms and Fragile Watermarking Tamper Detection on Coded Images

Ferdinando Di Martino, Salvatore Sessa
An original image is compressed with fuzzy transforms and is divided in images of sizes 2×2 on which we apply a known fragile watermarking process. A preprocessing phase is considered to determine the better compression rate for the coding process. We test this scheme in tamper detection analysis on...

On extension of fuzzy measures to aggregation functions

Anna Kolesárová, Andrea Stupnanová, Juliana Beganová
In the paper we study a method extending fuzzy measures on the set N = {1, . . ., n} to n-ary aggregation functions on the interval [0, 1]. The method is based on a fixed suitable n-ary aggregation function and the Möbius transform of the considered fuzzy measure. This approach generalizes the wellknown...

Fuzzy and Fourier Transforms

Irina Perfilieva, Petra Hod'áková
The fuzzy transform (F-transform for short) is a universal tool for a fuzzy modeling with convincing applications to image processing. The aim of this contribution is to explain the effect of the Ftransform in image processing. With this purpose, we investigate properties of the Fourier transform over...

Fuzzy Inference System based Contrast Enhancement

Balasubramaniam Jayaram, Kakarla Narayana, V. Vetrivel
In this work, we propose a fuzzy inference system based contrast enhancement of gray level images. We propose a new method of generating the fuzzy if-then rules specific to a given image based on the local information available to be used by a fuzzy inference system. To this end, we only generate a...

Aggregation Functionals on Complete Lattices

Marta Cardin
The aim of this paper is to introduce some classes of aggregation functionals when the evaluation scale is a complete lattice. Two different types of aggregation functionals are introduced and investigated. We consider a target-based approach that has been studied in Decision Theory and we focus on...

On the distributive equation for t-representable t-norms generated from nilpotent and strict t-norms

Michal Baczynski
Recently, in [4], we have discussed the following distributive equation of implications I(x, T1(y, z)) = T2(I(x, y), I(x, z)) over t-representable t-norms, generated from strict t-norms, in interval-valued fuzzy sets theory. In this work we continue these investigations, but with the assumption that...

Axiomatic Extensions of Höhle's Monoidal Logic

Esko Turunen
We introduce an axiomatic extension of H¨ohle's Monoidal Logic called Semi­divisible Monoidal Logic, and prove that it is complete by showing that semi­divisibility is preserved in MacNeille completion. Moreover, we introduce Strong semi­ divisible Monoidal Logic and conjecture that a predicate formula...

Computation with fuzzy quantities

Mirko Navara
Solving systems of equations (even linear ones) in standard fuzzy arithmetic may be a problem. We suggest an alternative approach which transfers the task to a linear space where the solution may be standard. Fuzzy intervals form a proper subset (in fact, a cone) in this linear space.

Control-oriented modeling of hydrostatic power-split CVTs using Takagi-Sugeno fuzzy models

Horst Schulte, Patrick Gerland
Power-split continuously variable transmissions (CVTs) represent a promising technology to improve the fuel economy of high-power off-road vehicles such as construction and agricultural machines. There are capable of keeping the combustion engine running within the optimal range in terms of fuel economy...

Biconic aggregation functions with a given diagonal or opposite diagonal section

Tarad Jwaid, Bernard De Baets, Hans De Meyer
A new method to construct aggregation functions is introduced. These aggregation functions are called biconic aggregation functions with a given diagonal (resp. opposite diagonal) section and their construction method is based on linear interpolation on segments connecting the diagonal (resp. opposite...

Proposition of a semi-automatic possibilistic information scoring process

Marie Jeanne Lesot, Thomas Delavallade, Frédéric Pichon, Herman Akdag, Bernadette Bouchon-Meunier, Philippe Capet
This paper proposes a semi-automatic three step information scoring process that starts from constructs representing structured pieces of information and a user query. It first identifies the constructs relevant to answer the user question, based on their similarity to the query. The relevant items...

Some preliminary reflections on the epistemology of Computational Theory of Perceptions

Clara Barroso, Gracian Trivino
The impressive practical applications is one of the main reasons of success of Fuzzy Logic. The Computational Theory of Perceptions (CTP) is an extension of this theory that has not yet reached the same level of applicability. We believe that a review of the fundamentals of CTP from a epistemological...

Two different approaches to handle landmark location uncertainty in skull-face overlay:coevolution vs fuzzy landmarks

Óscar Ibáñez, Óscar Cordón, Sergio Damas
Craniofacial superimposition is a forensic process where photographs or video shots of a missing person are compared with the skull that is found. By projecting both photographs on top of each other (or, even better, matching a scanned three-dimensional skull model against the face photo/video shot),...

Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation

Antonio Javier Barragán Piña, José Manuel Andújar Márquez, Mariano J. Aznar Torres, Agustín Jiménez, Basil M Al-Hadithi
Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data. Some adaptation algorithms for fuzzy system based on extended Kalman...

Functionally Expressible Multidistances

Javier Martín, Gaspar Mayor, Oscar Valero
In this paper we deal with the problem of aggregating pairwise distance values in order to obtain a multi-argument distance function. After introducing the concept of functionally expressible multidistance, several essential types of multidimensional aggregation functions are considered to construct...

Combining the -Plane Representation with an Interval Defuzzification Method

Sarah Greenfield, Francisco Chiclana
This paper is concerned with the defuzzification of the discretised generalised type-2 fuzzy set. In 2008 Liu proposed the -Plane Representation -- a decomposition of the generalised type-2 set into horizontal slices termed `-planes'. An -plane is akin to an interval type-2 fuzzy set. The -Plane Representation...

Distributive equation of implications based on continuous triangular norms

Feng Qin, Michal Baczynski, Aifang Xie
In order to avoid combinatorial rule explosion in fuzzy reasoning, in this work we explore the distributive equations of implications. In details, by means of the section of I, we give out the sufficient and necessary conditions of solutions for the distributive equation of implication I(x, T1(y, z))...

Statistical analysis of a smoothing filter based on fuzzy transform

Michal Holcapek, Tomáš Tichý
The paper is devoted to the smoothing of discrete functions using the fuzzy transform (shortly, Ftransform) introduced by Perfilieva in [1]. We generalize a smoothing filter based on the fuzzy transform proposed in [2] to obtain a better control on the smoothed functions. For this purpose, a generalization...

Towards an Axiomatization for the Generalization of the Kullback-Leibler Divergence to Belief Functions

Hélène Soubaras
In his information theory, Shannon [1] defined a notion of uncertainty, the entropy, which has been generalized in several wways to belief functions [2]. He also defined the channel capacity for which we propose in this paper the first generalization to belief functions. To do that, we need first to...

Dealing with inconsistencies in the representation of ordinal information by a 2-additive Choquet integral

Brice Mayag, Michel Grabisch, Christophe Labreuche
We propose an algorithm to solve inconsistencies when the preferences of a decision-maker, given by a strict and an indifference relations on a set of binary actions, are not representable by a 2-additive Choquet integral. According to the characterization of this type of information, these inconsistencies...

L-fuzzy valued measure and integral

Vecislavs Ruza, Svetlana Asmuss
We continue to develop a construction of an L-fuzzy valued measure by extending a measure defined on a algebra of crisp sets to an L-fuzzy valued measure defined on a TM-tribe in the case when operations with L-sets and L-fuzzy numbers are defined by using the minimum triangular norm TM. We introduce...

Monotonicity of fuzzy rule bases: On differences between graded and non-graded approaches

Martina Danková, Martin Štepnicka, Bernard De Baets
This contribution provides an exhaustive explanation of the graded approach to the monotonicity property (of a fuzzy relation) and its non-graded version. Our framework is algebraic. We present a wide variety of examples to support our claims relating to the well defined notion and suitability for fuzzy...

Aggregation of Health Assessment Indicators of Industrial Systems

Ludovic Rizzolo, Bouthaina Abichou, Alexandre Voisin, Naim Kosayyer
In the field of Prognostics and Health Management (P.H.M.), Health Monitoring can be seen as the first step to manage the global health state of complex systems. Health Monitoring of industrial systems focuses on accurately describing the health state of a system, using several equipment indicators....

A new method coupling simulation and a hybrid metaheuristic to solve a multiobjective hybrid flowshop scheduling problem

Xiaohui Li, Hicham Chehade, Farouk Yalaoui, Lionel Amodeo
In this paper, we have studied a multiobjective hybrid flowshop scheduling problem where n independent jobs should be executed in a hybrid assembly line. The aim of our work is to optimize the makespan and the total tardiness of the whole production. A simulation based optimization algorithm is proposed...

Fuzzy Rules for Events Perception and Emotions in an Agent Architecture

Hazael Jones, Julien Saunier, Domitile Lourdeaux
In complex simulations, multi-agents systems allow to model virtual humans with an explicit cognitive process representation. However, this cognitive process is hard to model and is therefore generally simplified in an application-dependant way. In order to improve the realism of individual and collective...

Estimating domains of attraction of fuzzy polynomial systems

Jose Luis Pitarch, Carlos Ariño, Antonio Sala
Most fuzzy control papers check LMI or SOS stability conditions in order to prove local stability results of nonlinear systems (Takagi-Sugeno fuzzy models or polynomial fuzzy models via Sector Nonlinearity approach). In case of having into account the shape of the membership functions in a particular...

The Fuzziness of Verbal Response Scales:The STAI-T Questionnaire

Franziska Bocklisch, Steffen F. Bocklisch, Josef F. Krems
In this paper we used a two-step procedure for the numerical translation of verbal frequency expressions of the response scale of a questionnaire (STAI-T). In an empirical study, 70 participants estimated numerical equivalents for verbal frequency expressions, data was modeled, and fuzzy membership...

The Inclusion-Exclusion Principle On the Set of IF-sets

Jana Kelemenová
P. Grzegorzewski [3] has worked the probability version of the inclusion-exclusion principle and made a generalization for IF-events. He had applied two versions of the generalized formula, corresponding to different t-conorms and so defined the union of IF-events. This paper contains the generalization...

An axiomatic definition of divergence for intuitionistic fuzzy sets

Ignacio Montes, Vladimir Janis, Susana Montes
An axiomatic definition of divergence measure for intuitionistic fuzzy sets (IFSs, for short) is presented in this work, as a particular case of dissimilarity between IFSs. As the concept of divergence measure is more restrictive, it has particular properties which are studied. Furthermore, the relationships...

Fuzzy fractional differential equations with Nagumo and Krasnoselskii-Krein condition

Tofigh Allahviranloo, Saeid Abbasbandy, Soheil Salahshour
In this paper, we consider two new uniqueness results for fuzzy fractional differential equations (FFDEs) involving Riemann-Liouville generalized H-differentiability with the Nagumo-type condition and the Krasnoselskii-Krein-type condition. To this purpose, the equivalent integral forms of FFDEs are...

Learning in dynamic environments: application to the diagnosis of evolving systems

Moamar Sayed-Mouchaweh, Omar Ayad, Noureddine Malki
In dynamic environments, data characteristics may drift over time. This leads to deteriorate dramatically the performance of incremental learning algorithms over time. This is because of the use of data which is no more consistent with the characteristics of new incoming one. In this paper, an approach...

Fuzzy assessment of test results

Oleksandr Sokolov, Olga Molchanova
The objective of this research is to study various assessment methods used in modern test systems. Methods based on classical test theory and IRT (item response theory) have been considered in this paper. The approaches to improve the quality of assessment of the ability level as a function of the diversity...

Weighted Voting Method Using Atanassov's Intuitionistic Fuzzy Preference Relations and Ignorance Functions

Daniel Paternain, Aranzazu Jurio, Edurne Barrenechea, Humberto Bustince, Benjamin Bedregal, Eulalia Szmidt
In this work we present a method for constructing an Atanassov's intuitionistic fuzzy preference relation from a fuzzy preference relation that takes into account the ignorance of the expert when evaluating the preferences in the latter. Moreover, we present two algorithms that make use of this method...

Fuzzy logic as a useful tool for managing resources in multi-energy buildings

Benjamin Paris, Julien Eynard, Michael Salvador, Stéphane Grieu
The present paper focuses on using fuzzy logic as a useful tool to manage energy resources in buildings and to reduce their energy impact. To that purpose, one requires the design and the implementation of efficient and readily adaptable control schemes. As everyone knows, fuzzy logic allows taking...

Computational Models of Affect and Fuzzy Logic

Albert Van Der Heide, Daniel Sánchez, Gracian Trivino
In light of recent research and empirical findings a new view on emotion and affect has surfaced. Within this view `feeling' (core affect) is separated from Ëmotion' (psychological construction). This model appears to be a good candidate for a computation model of affect and emotion. We argue that...

On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs

Christian Moewes, Rudolf Kruse
In this paper we reason about the usefulness of two recent trends in fuzzy methods in machine learning. That is, we discuss both fuzzy support vector machines (FSVMs) and the extraction of fuzzy rules from SVMs. First, we show that an FSVM is identical to a special type of SVM. Second, we categorize...

Multi-criteria improvement of options

Abdelhak Imoussaten, Jacky Montmain, Francois Trousset, Christophe Labreuche
Designing the way a complex system should evolve to better match the customers' requirements provides an interesting class of applications for muticriteria techniques. The required models to support the improvement design of a complex system must include both preference models and system behavioral...

Management decision-aiding with a fuzzy integral based Performance Measurement System

Lamia Berrah, Jacky Montmain, Vincent Clivillé, Gilles Mauris
This article is a contribution to the decision-maker's requirements to adapt resource allocation and define rewards according to the performance assessments at each milestone of an improvement action plan execution. Our approach is based on Performance Measurement Systems relating interacting elementary...

All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems

Edwin Lughofer
In this paper, we propose a novel design of evolving fuzzy classifiers in case of multi-class classification problems. Therefore, we exploit the concept of all-pairs aka all-versus-all classification using binary classifiers for each pair of classes, which has some advantages over direct multi-class...

Evaluating Consulting Firms Using a Centroid Ranking Approach based Fuzzy MCDM Method

Ta-Chung Chu
The purpose of this paper is to evaluate and select consulting firms by suggesting a centroid ranking approach based fuzzy multiple criteria decision making (MCDM) method, where ratings of alternatives versus qualitative criteria and the different importance weights among criteria are assessed in linguistic...