Fuzzy Relational Calculus and Its Application to Image Processing

نویسندگان

  • Etienne E. Kerre
  • Mike Nachtegael
چکیده

Vito Di Gesù University of Palermo, Italy Sankar Kumar Pal Indian Statistical Institute, Kolkata, India Alfredo Petrosino University of Naples Parthenope, Italy Scientific Program Committee: Sanghamitra Bandyopadhyay Indian Statistical Institute, Kolkata, India Jim Bezdek University of West Florida, Pensacola, USA Isabelle Bloch ENST-CNRS, Paris, France Piero Bonissone GE CRD, Schenectady, USA Gianpiero Cattaneo University of Milan Bicocca, Italy Mario Enea University of Palermo, Italy Ashish Ghosh Indian Statistical Institute, Kolkata, India Ugur Halici Middle East Technical University, Ankara, Turkey Katsuhiro Honda Osaka Prefecture University, Japan Janusz Kacprzyk Polish Academy of Sciences, Warsaw, Poland Etienne Kerre University of Gent, Belgium Erich Peter Klement Johannes Kepler University, Linz, Austria Malay Kumar Kundu Indian Statistical Institute, Kolkata, India Sushmita Mitra Indian Statistical Institute, Kolkata, India Witold Pedrycz University of Alberta, Canada Elie Sanchez University of Aix-Marseille, France George Sergiadis Aristotle University of Thessaloniki, Greece Michio Sugeno Doshisha University, Kyoto, Japan Roberto Tagliaferri University of Salerno, Italy Domenico Tegolo University of Palermo, Italy Settimo Termini University of Palermo and CNR, Italy Andrea Tettamanzi University of Milano, Italy Ioannis Vlachos Aristotle University of Thessaloniki, Greece Ronald Yager Iona College, New Rochelle, USA Bertrand Zavidovique University of Paris-Sud, France Steering Committee: Andrea Bonarini Politecnico of Milan, Italy Vito Di Gesù University of Palermo, Italy Antonio Di Nola University of Salerno, Italy Francesco Masulli University of Genova, Italy Gabriella Pasi University of Milan Bicocca, Italy Alfredo Petrosino University of Naples Parthenope, Italy Scientific Secretary: Giosuè Lo Bosco University of Palermo, Italy Filippo Millonzi University of Palermo, Italy Marco Tabacchi University of Palermo, Italy Cesare Valenti University of Palermo, Italy Contacts: Università degli Studi di Palermo Dipartimento di Matematica e Applicazioni Via Archirafi, 34. 90123 Palermo Italy Phone: +39 091 6040416 Fax: +39 091 6040311 Web: wilf2009.unipa.it e-mail: [email protected] The 8th International Workshop on Fuzzy Logic and Applications will take place in Palermo (Italy), June 9-12 2009, and it intends to provide the state of the art in theoretical and experimental areas of fuzzy sets and systems, with emphasis on different applications. WILF2009 aims to highlight connections and synergies of fuzzy sets theory with non-conventional computing (e.g., neural networks, evolutionary computation, support vector machines, molecular computing, quantum computing) and cognitive science, in order to reach a better understanding of both natural and artificial complex systems as well as computing systems, inspired by nature, which are able to solve complex problems. From this perspective one of the main goals of the WILF workshops is to bring together researchers and developers from both Academia and High-Tech Companies.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ON A LOSSY IMAGE COMPRESSION/RECONSTRUCTION METHOD BASED ON FUZZY RELATIONAL EQUATIONS

The pioneer work of image compression/reconstruction based onfuzzy relational equations (ICF) and the related works are introduced. TheICF regards an original image as a fuzzy relation by embedding the brightnesslevel into [0,1]. The compression/reconstruction of ICF correspond to thecomposition/solving inverse problem formulated on fuzzy relational equations.Optimizations of ICF can be consequ...

متن کامل

On a Lossy Image Compression/reconstruction Method Based on Fuzzy Relational Equations

The pioneer work of image compression/reconstruction based on fuzzy relational equations (ICF) and the related works are introduced. The ICF regards an original image as a fuzzy relation by embedding the brightness level into [0,1]. The compression/reconstruction of ICF correspond to the composition/solving inverse problem formulated on fuzzy relational equations. Optimizations of ICF can be co...

متن کامل

Towards a Fuzzy Object-Relational Database Model

This chapter introduces a fuzzy object-relational database model including fuzzy extensions of the basic object-relational databases constructs, the user-defined data types, and the collection types. The fuzzy extensions of these constructs focus on two main flexible aspects, a way to flexibly compare complex data types and an extension of collection types allowing partial membership of its ele...

متن کامل

Accommodating subjective vagueness through a fuzzy extension to the relational data model

Expression and processing of vagueness, which has many real world applications, are not handled effectively in the conventional relational data model. In this paper we investigate a fuzzy extension to the relational data model and propose three fuzzy relational query languages. Two of them are the Level-1 Fuzzy Relational Algebra and Level-1 Fuzzy Relational Calculus. They are fundamental query...

متن کامل

A Fuzzification of the Relational Data Model

Expression and processing of vagueness, which has many real world applications, is not handled effectively in the conventional relational model. In this paper we investigate a fuzzy extension to the relational data model and propose three fuzzy relational query languages. ‘ho of them are the Level-l Fuzzy Relational Algebra and Level-l Fmzy Relational Calculus. They are fundamental query langua...

متن کامل

Software Development in Intuitionistic Fuzzy Relational Calculus

In this study, MATLAB program for computing power of an IF matrix, strength of connectedness and index matrix of an IFG and its line IFG have been developed. This has been formulated using the theoretical aspects which are proved in [4]. These programs have been verified with suitable illustrations. The proposed MATLAB program is simple, efficient and takes less computational time in image segm...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009