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

Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles

Miguel A. Olivares-Mendez, Pascual Campoy
This paper proposed the use of vision based Fuzzy control approaches for autonomous navigation tasks with Unmanned Aerial Vehicles (UAVs). It is shown the advantages of using RGB cameras as the sensor onboard UAVs and the advantages of using Fuzzy logic controllers. It is explained how to set a vision...

Examples of Aggregation Operators on Membership Degrees of Type-2 Fuzzy Sets

Susana Cubillo, Pablo Hernández, Carmen Torres-Blanc
Z. Taká c in [16] introduced the aggregation operators on any subalgebra of M (set of all fuzzy membership degrees of the type-2 fuzzy sets, that is, the functions from [0,1] to [0,1]). Furthermore, he applied the Zadeh’s extension principle (see [24]) to obtain in [16, 17] a set of aggregation operators...

Analysis of the reliability of the fuzzy scale for assessing the students’ learning styles in Mathematics

Ana Belén Ramos Guajardo, María José González López, Ignacio González Ruiz
The reliability of the fuzzy scale for assessing the responses of a person in an opinion questionnaire (which is usually treated as a Likert-type questionnaire) is analyzed. Thus, a comparison between a classical Likert scale-based questionnaire and its fuzzy rating scale-based version in terms of their...

Measuring dependence between dimensions of poverty in Spain: An approach based on copulas

Ana Pérez, Mercedes Prieto
Welfare and close related issues, like poverty and ine-quality, are multidimensional as they involve not only income, but also education, health or labour. This paper aims to measure the dependence among dimensions us-ing copula-based coefficients. This approach focuses on the positions of the individuals...

A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems

Adriano S. Koshiyama, Marley M.B.R. Vellasco, Ricardo Tanscheit
This work presents a novel Genetic Fuzzy System (GFS), called Genetic Programming Fuzzy Inference System for Regression problems (GPFISRegress). It makes use of Multi-Gene Genetic Programming to build the premises of fuzzy rules, including t-norms, negation and linguistic hedge operators. GPFIS-Regress...

How geophysicists’ intuition helps seismic data processing

Afshin Gholamy, Vladik Kreinovich
In geophysics, signals come with noise. It is desirable to minimize the effect of this noise. If we knew the probabilities of different values of signal and noise, we could use statistical filtering techniques. In geophysics, however, we rarely know the exact values of these probabilities; instead, we...

Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid

Ku Muhammad Naim Ku Khalif, Alexander Gegov
In this paper, the theoretical foundations of generalised fuzzy Bayesian Network based on Vectorial Centroid defuzzification is introduced. The extension of Bayesi-an Network takes a broad view by examples labelled by a fuzzy set of attributes, instead of a classical set. Com-bining fuzzy set theory...

Dynamic parameter adaptation in Ant Colony Optimization using a fuzzy system for TSP problems

Frumen Olivas, Fevrier Valdez, Oscar Castillo
Fuzzy logic has been a useful tool for modeling complex problems, with the use of fuzzy variables and fuzzy rules, and in this paper we use a fuzzy system for parameter adaptation in the Ant Colony Optimization (ACO meta-heuristic). In this case we perform the dynamic adaptation of Alpha and Rho parameters;...

Inverse Reinforcement Learning based on Critical State

Kao-Shing Hwang, Tien-Yu Cheng, Wei-Cheng Jiang
Inverse reinforcement learning is tried to search a reward function based on Markov Decision Process. In the IRL topics, experts produce some good traces to make agents learn and adjust the reward function. But the function is difficult to set in some complicate problems. In this paper, Inverse Reinforcement...

Statistical Analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation of the BCO

Leticia Amador-Angulo, Oscar Castillo
A statistical analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation in the Bee Colony Optimization algorithm (BCO) is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature-Inspired Algorithms. The objective of the work is based...

GASRP-FP: A hybrid metaheuristic to solve fuzzy portfolio selection with non-financial goals

José Manuel Cadenas, Mª Carmen Garrido, Raquel Martínez, Clara Calvo, Carlos Ivorra, Vicente Liern
The emergence of more powerful computational techniques has stimulated the development and study of more sophisticated models for portfolio selection problem including further constraints and further financial and non-financial decision criteria. In this paper, we propose a hybrid approach composed of...

Fuzzy implications based on semicopulas

Michal Baczynski, Przemyslaw Grzegorzewski, Radko Mesiar
Recently, two new families of fuzzy implication functions called probabilistic implications and probabilistic S-implications were introduced by Grzegorzewski [6, 7, 9]. They are based on conditional copulas and make a bridge between probability theory and fuzzy logic. In this paper we generalize these...

A Hesitant Linguistic Fuzzy TOPSIS Approach Integrated into FLINTSTONES

Francisco J. Estrella, Rosa M. Rodríguez, Luis Martínez
Many real-world decision making problems require multiple criteria which can be from different nature. This implies to define a heterogeneous context with different types of information that experts will use to provide their assessments. But sometimes, experts do not have enough knowledge or information...

Properties of the survival implications and S-implications

Piotr Helbin, Michal Baczynski
Recently, Grzegorzewski [9] introduced two new families of fuzzy implication functions called survival implications and survival S-implications. These two classes of multivalued implications are based on conditional copulas. In the same article the author gave a motivation to his ideas and he analyzed...

Interpretable knowledge discovery from data with DC*

Marco Lucarelli, Ciro Castiello, Anna M. Fanelli, Corrado Mencar
We present DC* (Double Clustering with A*) as an information granulation method specifically suited for deriving interpretable knowledge from data. DC* is based on two main clustering stages: the first is devoted to compressing multi-dimensional data into few prototypes that grab the main relationships...

A reflection on fuzzy “complements”

Enric Trillas, Adolfo Rodríguez de Soto
A fuzzy set can be seen as a measure of the meaning of a predicate in a given universe. Generally, a predicate covers some elements of the universe and not others. In this paper the problem of determining the properties a fuzzy set should check to cover elements not covered by a predicate represented...

On Strongly Standard Complete Fuzzy Logics: MTLQ* and its Expansions.

Amanda Vidal, Lluis Godo, Francesc Esteva
Finding strongly standard complete axiomatizations for t-norm based fuzzy logics (i.e. complete for deductions with infinite sets of premises w.r.t. semantics on the real unit interval [0, 1]) is still an open problem in general, even though results are already available for some particular cases like...

Gradient extraction operators for discrete interval-valued data

Carlos Lopez-Molina, Cedric Marco-Detchart, Juan Cerron, Humberto Bustince, Bernard De Baets
Digital images are generally created as discrete measurements of light, as performed by dedicated sensors. Consequently, each pixel contains a discrete approximation of the light inciding in a sensor element. The nature of this measurement implies certain uncertainty due to discretization matters. In...

On Consistency of Decision Goals and Separability of Preferences of Decision Alternatives

Rudolf Felix
The paper shows how a specific notion of consistency based on a definition of interactions of decision goals is linked with the notion of separability. Subsets of deci-sion alternatives for which additive aggregation as deci-sion making concept is allowed are systematically iden-tified. These subsets...

Optimization of the ordinal and cardinal consistency of a preference matrix in decision making

Martin Gavalec, Karel Mls, Hana Tomášková
In multi-criteria decision problems the relative importance of alternatives is computed from preference matrices, which come from experience and can possibly be inconsistent. Two consistency types of preferences are studied in the paper. The ordinal consistency preserves the order in which the alternatives...

A general fuzzy set representation for decision making

Luca Anzilli, Gisella Facchinetti
In this paper we propose a general procedure to represent a fuzzy set that may be non-normal and/or non-convex. This representation will be offered by an interval and a crisp value. This idea is useful either in optimization and decision making problems or in defuzzification step of a fuzzy inference...

Characterizing variants of qualitative Sugeno integrals in a totally ordered Heyting algebra

Didier Dubois, Agnès Rico, Bruno Teheux, Henri Prade
Sugeno integral is one of the basic aggregation operations on a qualitative scale where only minimum and maximum, as well as order-reversing maps are allowed. Recently some variants of this aggregation operation, named soft and drastic integrals, have been introduced in a previous work by three of the...

Learning User Activities from Energy Demand Profiles

Maria Ros, Miguel Molina-Solana, M. José Martin-Bautista, Miguel Delgado, M. Amparo Vila
In this paper, we propose the use of energy load profiles to learn human activities. An energy load profile determines the energy consumption of an appliance during a specific interval of time. We propose the use of clustering techniques to group the different profiles according to their temporal consumption....

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings

Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas
The study of energy efficiency in buildings is an active field of research. Modelling and predicting energy related magnitudes leads to analyse electric power consumption and can achieve economical benefits. In this study, machine learning techniques are applied to predict active power in buildings....

An analysis of the median of a fuzzy random variable based on Zadeh’s extension principle

Sonia Pérez-Fernández, Beatriz Sinova
The median of a fuzzy random variable has been extended either by applying Zadeh’s extension principle or by minimizing its mean distance w.r.t. a fuzzy number when a certain L1 metric is considered. This paper aims to analyze connections between both approaches along with some properties of the first...

A distributed learning algorithm for Self-Organizing Maps intended for outlier analysis in the GAIA – ESA mission

Daniel Garabato, Carlos Dafonte, Minia Manteiga, Diego Fustes, Marco A. Álvarez, Bernardino Arcay
Since its launch in December 2013, the Gaia space mission has collected and continues to collect tremendous amounts of information concerning the objects that populate our Galaxy and beyond. The international Gaia Data and Analysis Consortium (DPAC) is in charge of developing computer algorithms that...

Context-Aware Fuzzy Databases: An application

José Tomás Cadenas, Nicolas Marin, M. Amparo Vila
The way human beings communicate is contextdependent and it is not easily reproduced on traditional computer systems. We propose combined advances in Context-aware Computing and Fuzzy Databases with the aim of producing more intelligent, flexible and personalized systems. We focus on the interaction...

Memetic Type-2 Fuzzy System Learning for Load Forecasting

Iván Castro León, Philip C. Taylor
This paper presents an automatic method to design interval type-2 fuzzy systems for load forecasting applications using a memetic algorithm. This hybridisation of a variable-length genetic algorithm and a gradient descent method allows for concurrent learning of the system’s parameters and structure...

Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting

Leandro Maciel, André Lemos, Rosangela Ballini, Fernando Gomide
The aim of the 2015 IFSA-EUSFLAT International Time Series Competition, Computational Intelligence in Forecasting (CIF), is to evaluate the performance of computational intelligence-based approaches to forecast time series of different nature. The participants must propose a unique consistent methodology...

Classification based on Neighborhood from Datasets with Low Quality Data

José Manuel Cadenas, Mª Carmen Garrido, Raquel Martínez, Antonio Muñoz-Ledesma
Currently there are not many data mining method available to solve the classification task in datasets with low quality values. In this paper we propose a method of imputation/classification based on neighborhood that can work with nominal and numerical attributes which can contain low quality values....

On two categories of many valued relations

Dikran Dikranjan, Alexander Šostak
The purpose of these notes is to introduce the concept of a many-valued relation and to study two, in a certain sense dual, categories of such relations. Besides, we apply the concept of a manyvalued relation to the description of different approaches, both fixed-based and variable-based, to Fuzzy Topology...

Worldwide Investing in Real Estate Using Interval-Valued Intuitionistic Fuzzy Sets

Irem Otay, Cengiz Kahraman
Global real estate investments have been one of the popular investment areas since developments in trans-portation vehicles among countries, significant reduc-tion in travelling costs, and suitable legal arrangements for purchasing real estates in a foreign country have made it attractive. This investment...

A New Approach to Fuzzy Multi-Criteria Acceptability Analysis

Boris Yatsalo
The suggested approach, FMAA (Fuzzy Multicriteria Acceptability Analysis), assimilates uncertainties/ imprecisions of objective values and subjective judgments within the discrete Multi-Criteria Decision Analysis (MCDA). The presented algorithm for FMAA implementation utilizes fuzzy criterion values...

Construction of Typical Hesitant Triangular Norms regarding Xu-Xia-partial Order

Helida Santos, Benjamín Bedregal, Regivan Santiago, Humberto Bustince, Edurne Barrenechea
Fuzzy Sets theory has been applied in many fields to handle uncertainty, which can be reflected on the membership degree of the objects belonging to a set. Moreover, Hesitant Fuzzy Sets are useful whenever there is indecision among several possible values for the preferences over objects in the process...

Similarity based one-sided tests for the expected value and interval data

Przemyslaw Grzegorzewski, Ana Belén Ramos-Guajardo
A novel way for addressing one-sided hypothesis tests for the mean of unable to observe real random variables from which we have information provided in terms of interval data is proposed. For this purpose, a measure of similarity between intervals is considered and the classical one-sided hypothesis...

Towards a fuzzy-linguistic based social network sentiment-expression system

Valerio Perticone, Francesco D’Aleo, Giovanni Rizzo, Marco Elio Tabacchi
Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling....

Comparison of belief AHP models using a simulation study

Amel Ennaceur, Zied Elouedi, Eric Lefevre
A multi-criteria decision making (MCDM) method, as its own name suggests, is for use in situations when more than one criterion must be considered. In this work, we will focus on the Analytic Hierarchy Process (AHP), one of the well-known and most widely used MCDM approaches. Despite the extensive application...

Linguistic Descriptions As a Modeling Tool For Multivariate Time Series

Pavel Rusnok
We propose linguistic associations mining as a technique to create the models of the multivariate time series. We define various linguistic evaluative expressions on the range of the values of the time series and variables derived from them. We mine linguistic associations then and interpret them as...

LULC database updating from VHR images and LIDAR data using evidence theory

Borja Rodríguez-Cuenca, M. Concepción Alonso, Agustín Tamés-Noriega
Urban growth and the development of urban plans make cities grow and substantially alter, in relatively short time periods, their land covers and land uses (LULC). To take control of this urban growth, it is im-portant to create and update the LULC database. In this work, a method to automatically extract...

Optimization of the Fuzzy Integrators in Ensembles of ANFIS Model for Time Series Prediction: The case of Mackey-Glass

Jesus Soto, Patricia Melin
This paper describes the optimization of the fuzzy inte-grators in Ensembles of ANFIS models for time series prediction, this with emphasis on its application to the prediction of Mackey-Glass time series, so this bench-mark time series is used to the test of performance of the proposed ensemble architecture....

Feature Spaces-based Transfer Learning

Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu
Transfer learning provides an approach to solve target tasks more quickly and effectively by using previously-acquired knowledge learned from source tasks. Most of transfer learning approaches extract knowledge of source domain in the given feature space. The issue is that single perspective can t mine...

Optimum allocation of centers in fuzzy transportation networks with the largest vitality degree

Vitalii Bozheniuk, Alexander Bozhenyuk, Stanislav Belyakov
Fuzzy graph, fuzzy directed way, accessible degree, fuzzy transitive closure, reachability degree, strong connection degree, vitality degree, fuzzy set of vitality.

Measuring Quality Policy Deployment: A Fuzzy Logic Approach

Juan Cogollo-Flórez, Myladis Cogollo-Flórez, Andrea Flórez-Rendón
Global and balanced performance measurement in Qual-ity Policy Deployment is a key element of quality man-agement in public Higher Education Institutions (HEI´s). This paper describes the design of a fuzzy linguistic model for measuring Quality Policy Deployment in a Colombian public HEI. The proposed...

Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection

Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Francisco Herrera
classification based on the One-vs-One decomposition strategy has shown a high quality for addressing those problems with multiple classes, even if the learning model enables the discrimination among several concepts. The main phase of the pairwiselearning is the decision process, where the outputs of...

Infinitesimals and Pavelka logic

Esko Turunen, Mirko Navara
Rational Pavelka Logic does not admit infinitesimals. We argue that infinitesimals are important in logic and we present an alternative approach which admits them. It is built up in a similar style, but based on the Chang’s perfect MV-algebra. We prove a partial result towards the completeness of this...

Unifying fuzzy controller for IEQ: implementation in a Raspberry Pi

Miguel Molina-Solana, Maria Ros, Miguel Delgado
Recent developments in computing and hardware manufacturing are allowing many pieces of software to be embedded in general-purpose, low-cost devices. This work presents and tests the feasibility and performance of implementing, in such a device, a previously developed unified fuzzy controller for managing...

Fuzzy clustering and prediction of electricity demand based on household characteristics

Joaquim L. Viegas, Susana M. Vieira, João M. C. Sousa
The electricity market has been significantly changing in the last decade. The deployment of smart meters is enabling the logging of huge amounts of data relating to the operations of utilities with the potential of being translated into valuable knowledge on the behaviour of consumers. This work proposes...

A tentative fuzzy assessment of the quality of teaching and opportunities to learn mathematics in a classroom discussion

Itziar García-Honrado, Miquel Ferrer, Angela Blanco-Fernandez
We study classroom discussions to obtain a fuzzy summary of the quality of teaching and opportunities to learn mathematics created in whole-class settings. We consider the ten rubrics of the Instructional Quality Assessment and make a fuzzy interpretation of this tool. We selected two problems of proportionality...

F-transform and discrete convolution

Pavel Vlašánek, Irina Perfilieva
Discrete convolution is commonly used operation in the image processing field. The technique modifies an input image in various ways by scalable and easy computation. We are able to achieve many applications such as edge detection, noise reduction or artistic filtering, by selection of the proper kernel....

Hierarchical Intuitionistic Fuzzy Possibilistic C Means Kernel Clustering Algorithm for Distributed Networks

Arindam Chaudhuri, Soumya K. Ghosh
Advances in distributed networking have resulted in an explosion in size of modern datasets while storage and processing power continue to lag behind. This requires the need for algorithms that are efficient in terms of number of measurements and running time. To combat challenges associated with large...