EUSFLAT 2017
The 10th Conference of
the European Society for Fuzzy Logic and Technology

Warsaw, Poland, September 11-15, 2017

Brand

Special sessions

Image Processing with Fuzzy Techniques
and Edge Detection competition


Organizers: Humberto Bustince, Javier Montero, Irina Perfilieva

Description

The Special Session will be focused on theoretical and application aspects of image processing in general and advantage of fuzzy (soft computing) techniques in this field in particular. The objective of this special session is to present original developments that are useful in any application of computer vision, going from image processing techniques to more sophisticated aspects of computer vision and image understanding.

This time the Special Session on image processing includes a competition which is focused on Edge Detection. The details are on the web page http://irafm.osu.cz/edge2017/main.php. The winner will be awarded with EUSFLAT Diploma, and the best solutions will be presented on the special session.

Topics

Topics include, but are not limited to:

  • Image enhancement, filtering, noise removal, restoration,
  • Image compression and reduction,
  • Segmentation, thresholding and edge detection,
  • Feature extraction, pattern recognition,
  • Mathematical morphology,
  • Image similarity and image retrieval,
  • Video processing and retrieval,
  • Multidimensional data analysis and visualization,
  • Multi-modal image analysis,
  • Remote sensing,
  • Scene understanding.

With applications to:

  • Medical imaging
  • Computer vision
  • Image processing on wearable devices

Important dates

Full paper submission deadline:March 31, 2017
Notification of acceptance/rejection:April 23, 2017
Submission of final papers:May 13, 2017

Organizers

Humberto Bustince

bustince@unavarra.es

Javier Montero

jamonter@ucm.es

Irina Perfilieva

irina.perfilieva@osu.cz

Algorithms for Data Aggregation and Fusion


Organizers: Bernard De Baets, Marek Gągolewski, Simon James

Description

Aggregation theory by default deals with mathematical aspects of diverse ways to summarize homogeneous data. This includes the construction and analysis of functions that act on elements in the real line (means, t-norms, t-conorms, fuzzy implications) as well as other lattices.

This session is focused on algorithmic aspects of data aggregation and fusion, including big, computationally demanding, complex and/or heterogeneous data sets. Non-standard and non-classical approaches to aggregation are especially welcome.

Topics

Topics include, but are not limited to:

  • complex data aggregation and fusion:
    • multidimensional real vectors
    • rankings
    • character strings (DNA sequences, etc.)
    • directional and spatial data
    • trees and other types of graphs
    • intervals and fuzzy quantities
    • time series
  • big data problems
  • algorithmic challenges of classical aggregation functions
  • learning aggregation functions from data
  • record linkage between heterogeneous data sets
  • applications:
    • bioinformatics
    • decision making
    • data analysis
    • classification
    • clustering
    • computational statistics
    • bibliometrics
    • economics
    • pattern recognition
    • plagiarism detection
    • automated spelling correction

Organizers

Bernard De Baets

KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics,
Ghent University
Ghent, Belgium
Bernard.DeBaets@ugent.be

Marek Gągolewski

Systems Research Institute,
Polish Academy of Sciences
Warsaw, Poland
gagolews@ibspan.waw.pl

Simon James

School of Information Technology,
Deakin University
Melbourne, Australia
simon.james@deakin.edu.au

Fuzzy Quantifiers in Fuzzy Natural Logic


Organizers: Antonín Dvořák, Michal Holčapek, Vilém Novák

Description

Fuzzy quantification is an important and active field of research using tools and results from mathematical logic, generalized quantifier theory, linguistics, measure and integral theory as well as other fields. Fuzzy quantification is applied in data mining, databases, learning, image processing, decision making, etc. Nowadays, one can find several approaches to fuzzy quantification stemming from, e.g., pioneering Zadeh's approach of type I and II sentences evaluation, axiomatic treatment of quantifier fuzzification mechanisms, residuated lattice based generalization of Generalized Quantifier Theory, intermediate quantifiers defined syntactically in Fuzzy Type Theory, or representation level approach. Hence, there is a need to compare and/or unite these approaches and possibly formulate a new perspective of research in fuzzy quantification.

Fuzzy Natural Logic (FNL) is a class of mathematical theories (theory of evaluative expressions, theory of fuzzy IF-THEN rules and approximate reasoning based on them, theory of fuzzy generalized quantifiers and syllogisms, etc.) with the goal to model human thinking characterized by the use of natural language. Because the theory of fuzzy quantification is one of the basic constituents of FNL, we think that it would be interesting to look also at the other parts of FNL from the point of view of possible interrelations and mutual applications.

Topics

Topics include, but are not limited to:

  • theoretical results in various approaches fuzzy quantification,
  • theory of generalized intermediate syllogisms and square of opposition,
  • comparison of various approaches to fuzzy quantification,
  • development of various theories belonging to FNL,
  • applications of fuzzy quantification and other parts of FNL in data mining, linguistics, learning, image processing, decision making, databases, analysis of time series, and elsewhere.

Organizers

Antonín Dvořák

Institute for Research and Applications of Fuzzy Modeling,
Center of Excellence IT4Innovations,
University of Ostrava, the Czech Republic
antonin.dvorak@osu.cz

Michal Holčapek

Institute for Research and Applications of Fuzzy Modeling,
Center of Excellence IT4Innovations,
University of Ostrava, the Czech Republic
michal.holcapek@osu.cz

Vilém Novák

Institute for Research and Applications of Fuzzy Modeling,
Center of Excellence IT4Innovations,
University of Ostrava, the Czech Republic
vilem.novak@osu.cz

Aggregation Functions: Recent Trends and Developments


Organizers: Humberto Bustince, Tomasa Calvo, Radko Mesiar

Description

Aggregation functions are nowadays a basic tool for any procedure where the fusion of information is required. In recent times, the interest and the work in this field is rapidly growing and have led to a deep study of not only classical aggregation functions such as weighted means, t-norms or t-conorms, but also of others such as those constructed by means of Choquet or Sugeno integrals, copulas, overlap and grouping functions or ignorance functions, among many others, as well as of generalizations of the notion of aggregation function, as it is the case of pre-aggregation functions. All these developments have been closely linked to an increasing number of applications in many different topics, from image processing to classification, machine learning or decision making, just to mention a few of them.

The aim of this special session is to bring researchers in the field of Aggregation Functions, to exchange their ideas and approaches, to discuss and to present latest results on this field, both from a theoretical and an applied point of view. In this way, it will follow the rich tradition of Special Sessions in Aggregation Functions from previous EUSFLAT Conferences.

Topics

Topics include, but are not limited to:

Theoretical aspects:
  • Properties of aggregation functions
  • Generalizations of the idea of aggregation function
  • Copulas and triangular norms
  • Fuzzy measures and integrals
  • Averaging aggregation functions
  • Aggregations with ordinal and nominal scales
  • Aggregation functions for extensions of fuzzy sets
  • Aggregation on posets and lattices
Practical aspects
  • Security intelligence, analysis and decision support
  • Evaluation problems
  • Medical decision problems
  • Hybrid intelligent systems and computational intelligence
  • Approximate reasoning
  • Image processing
  • Model identification and parametrization
  • Diagnostics and prognostics
  • Data mining

Organizers

Humberto Bustince

bustince@unavarra.es

Tomasa Calvo

tomasa.calvo@uah.es

Radko Mesiar

mesiar@math.sk

Fuzzy Modelling of Dynamic Systems


Organizers: Juan Albino Méndez, Basil M. Al-Hadithi, Fernando Matía

Description

Intelligent control covers different techniques such as expert systems, fuzzy logic, neural networks or genetic algorithms. However, fuzzy logic has demonstrated to be the most used in industrial applications. The key for this is its ability to represent expert control/modeling knowledge and experience. Another factor contributing to the deployment of fuzzy applications in industry is the growing computational power of embedded systems. Thus, fuzzy applications are present in all levels of the automation pyramid and appear as a powerful tool for modeling, identification and control of complex plants.

The scope of the session will be focused in fuzzy logic modelling of dynamic systems. Both relevant theoretical contributions and applications will be considered. The aim of this initiative is to bring together researchers on intelligent systems field that focus their interest in fuzzy logic modelling, and put together their latest advances in its state of the art or applications. As such, the session aims to provide both an overview of the current top quality research in this area, and at the same time to explore new trends in fuzzy modelling methodologies.

Topics

Topics include, but are not limited to:

  • Fuzzy identification and fuzzy modeling
  • Hybrid-fuzzy modelling and identification
  • Fuzzy clustering models
  • Fuzzy modelling of high dimensional systems
  • Inverse model identification

Organizers

Juan Albino Méndez

Department of Computer Science and Systems Engineering,
University of La Laguna
jamendez@ull.edu.es

Basil M. Al-Hadithi

Center for Automation and Robotics,
Universidad Politécnica de Madrid,
basil.alhadithi@upm.es

Fernando Matía

Center for Automation and Robotics,
Universidad Politécnica de Madrid,
fernando.matia@upm.es

Representing and Managing Vagueness: Different Scenarios, Different Tools


Organizers: Davide Ciucci, Jesús Medina, Łukasz Sosnowski

Description

The notion of vagueness has been extensively analysed in the last decades by philosophers, logicians and computer scientists. Here we are interested in the vagueness originated by different characteristics and flaws in information: incompleteness, imprecision, graduality, granularity, contradiction between agents, etc. For each of these aspects one (or more) specific tool has been introduced in literature: fuzzy sets, rough sets, possibility theory, Dempster-Shafer theory, interval analysis, compound objects comparators, etc. Further, when more than one form of vagueness are present at the same time, it seems natural to fuse such tools, as in the fuzzy rough set case.

The special session is devoted to collect all contributions that deal with scenarios leading to a form of vagueness and tools to represent and manage it. In particular, all critical discussions, comparisons among two or more forms of vagueness and/or comparisons and fusion of two or more tools are welcome.

Topics

The not exhaustive list of topics includes:

  • rough sets (classical, probabilistic, game-theoretic, etc.)
  • fuzzy rough sets
  • interval-valued fuzzy sets
  • possibility theory
  • supervaluations
  • paraconsistent logics
  • near sets
  • interval analysis
  • grey sets
  • non-classical logics (many valued, paraconsistent, epistemic,...)
  • similarity Based Reasoning
  • networks of comparators

Organizers

Davide Ciucci

University of Milano-Bicocca, Italy
ciucci@disco.unimib.it

Jesús Medina

University of Cádiz, Spain
jesus.medina@uca.es

Łukasz Sosnowski

Systems Research Institute
Polish Academy of Sciences
sosnowsl@ibspan.waw.pl

Fuzzy Logic, Formal Concept Analysis, Mathematical Morphology and Related Topics


Organizers: Chris Cornelis, Jesús Medina, Manuel Ojeda Aciego

Description

Fuzzy Logic, Formal Concept Analysis and Mathematical Morphology are three important tools to handle information from databases. The purpose of this Special Session is to provide an international forum for presentation of recent results, advances and interactions among these important tools.

Topics

The not exhaustive list of topics includes:

  • Fuzzy sets and fuzzy logic
  • Logic programming
  • Formal concept analysis
  • Fuzzy relation equations
  • Mathematical morphology
  • Aggregation operators in relational data analysis

Organizers

Chris Cornelis

University of Ghent, Belgium
Chris.Cornelis@UGent.be

Jesús Medina

University of Cádiz, Spain
jesus.medina@uca.es

Manuel Ojeda Aciego

University of Málaga, Spain
aciego@uma.es

Extensions of Fuzzy Sets in Decision Making


Organizers: Cengiz Kahraman, Basar Oztaysi, Sezi Cevik Onar

Description

Fuzzy sets have a history starting from ordinary fuzzy sets and extending to other types of fuzzy sets: Ordinary fuzzy sets (Zadeh, 1965), interval-valued fuzzy sets (Zadeh, 1975; Grattan-Guiness, 1975; Jahn, 1975; Sambuc, 1975), type-2 fuzzy sets (Zadeh, 1975), intuitionistic fuzzy sets (Atanassov, 1986), fuzzy multisets (Yager, 1996), neutrosophic sets (Smandarache, 1999), nonstationary fuzzy sets (Garibaldi and Ozen, 2007), Hesitant fuzzy sets (Torra, 2010).

Each of these extensions has been used in the solutions of single criterion and multiple criteria decision making problems. Ordinary fuzzy sets, intuitionistics fuzzy sets and hesitant fuzzy sets are the most used extensions in the fuzzy sets history. Neutrosophic sets are the generalization of intuitionistic fuzzy sets and they seem to be competitive with the other extensions of fuzzy sets in the future.

Decision making is the study of identifying and choosing alternatives based on the values and preferences of a decision maker. Making a decision implies that there are alternative choices to be considered, and in such a case we want not only to identify as many of these alternatives as possible but to choose the one that best fits with our goals, objectives, desires, values, and so on. It is very important to make distinction between the cases whether we have a single or multiple criteria. The case when we have a finite number of criteria but the number of the feasible alternatives (the ones meeting the requirements) is infinite belongs to the field of multiple criteria optimization. Also, techniques of multiple criteria optimization can be used when the number of feasible alternatives is finite but they are given only in implicit form. Decision making problems when the number of the criteria and alternatives is finite, and the alternatives are given explicitly are called multiattribute decision making (MADM) problems.

This special session aims to include the papers trying to solve single criterion or multiple criteria problems using the extensions of ordinary fuzzy sets. The papers may be theoretical or practical decision making works.

Topics

Topics include, but are not limited to:

  • Decision support systems in sustainability and environment
  • Making decision under uncertainty in health care systems
  • Intuitionistic & hesitant fuzzy multiple criteria decision making
  • Advances in decision making under uncertainty, ignorance, inconsistency, and vagueness
  • Logistics engineering: modeling, optimization and simulation
  • Operations research and operations management
  • Production planning and control
  • Data mining and big data
  • Engineering economics decision making
  • Statistical decision making

Organizers

Cengiz Kahraman

Industrial Engineering Department, Istanbul Technical University,
Macka, Istanbul, 34367, Turkey
kahramanc@itu.edu.tr

Basar Oztaysi

Industrial Engineering Department, Istanbul Technical University,
Macka, Istanbul, 34367, Turkey
oztaysib@itu.edu.tr

Sezi Cevik Onar

Industrial Engineering Department, Istanbul Technical University,
Macka, Istanbul, 34367, Turkey
sezicevik@yahoo.com

Mathematical Fuzzy Logic


Organizers: Brunella Gerla, Tommaso Flaminio

Description

This special session is devoted to the most recent developments in the realm of many-valued logics, with particular emphasis on theoretical advances related to algebraic or alternative semantics, combinatorial aspects, topological and categorical methods, proof theory and game theory, many-valued computation.

Topics

A partial list of topics is the following:

  • Algebraic semantics of many-valued logics
  • Applications of many-valued logics to Formal Concept Analysis and Relational Methods
  • Applications of many-valued logics to Fuzzy Sets and to Rough Sets
  • Combinatorial or topological dualities
  • Computational complexity of many-valued logics
  • Modal logic approaches to probability and uncertainty in many-valued logics
  • Natural and alternative semantics for many-valued logics
  • Proof theory for many-valued logics
  • Subjective probability approaches to many-valued logics and non-classical events

Organizers

Brunella Gerla

Universitá degli Studi dell'Insubria, Italy
brunella.gerla@uninsubria.it

Tommaso Flaminio

Universitá degli Studi dell'Insubria, Italy
tommaso.flaminio@uninsubria.it

Soft Computing in Database Management and Information Retrieval


Organizers: Guy De Tré, Gabriella Pasi, Sławomir Zadrożny

Description

This special session's focus is on the application of soft computing/computational intelligence tools and techniques for database and information retrieval systems purposes. Information processing systems, in particular database management systems and information retrieval systems, have become a crucial component in many businesses and organizations. Soft computing techniques can play an important role in extending facilities and effectiveness of such systems in order to make them better accessible and to cope with imperfection of the information dealt with herein, thereby explicitly considering the fact that information can be uncertain, imprecise, vaguely described, incomplete and/or inconsistent.

Topics

The topics of interest include:

  • fuzzy databases
  • information retrieval
  • content based information retrieval
  • geographical information systems
  • multimedia information systems

Organizers

Guy De Tré

Ghent University, Belgium
Guy.DeTre@UGent.be

Gabriella Pasi

University of Milano-Bicocca, Italy
pasi@disco.unimib.it

Sławomir Zadrożny

Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Slawomir.Zadrozny@ibspan.waw.pl