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Fuzzy Relation Equations and Their Applications to Knowledge Engineering

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  • © 1989

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Part of the book series: Theory and Decision Library D: (TDLD, volume 3)

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Table of contents (15 chapters)

Keywords

About this book

It took many decades for Peirce's coneept of a relation to find its way into the microelectronic innards of control systems of eement kilns, subway trains, and tunnel-digging machinery. But what is amazing is that the more we leam about the basically simple coneept of a relation, the more aware we become of its fundamental importanee and wide ranging ramifications. The work by Di Nola, Pedrycz, Sanchez, and Sessa takes us a long distanee in this direction by opening new vistas on both the theory and applications of fuzzy relations - relations which serve to model the imprecise coneepts which pervade the real world. Di Nola, Pedrycz, Sanchez, and Sessa focus their attention on a eentral problem in the theory of fuzzy relations, namely the solution of fuzzy relational equations. The theory of such equations was initiated by Sanchez in 1976, ina seminal paper dealing with the resolution of composite fuzzy relational equations. Sinee then, hundreds of papers have been written on this and related topics, with major contributions originating in France, Italy, Spain, Germany, Poland, Japan, China, the Soviet Union, India, and other countries. The bibliography included in this volume highlights the widespread interest in the theory of fuzzy relational equations and the broad spectrum of its applications.

Authors and Affiliations

  • Facoltà di Architettura, Università di Napoli, Napoli, Italy

    Antonio Nola, Salvatore Sessa

  • Department of Electrical Engineering, University of Manitoba, Winnipeg, Canada

    Witold Pedrycz

  • Faculté de Médecine, Université Aix-Marseille II, Marseille, France

    Elie Sanchez

Bibliographic Information

  • Book Title: Fuzzy Relation Equations and Their Applications to Knowledge Engineering

  • Authors: Antonio Nola, Salvatore Sessa, Witold Pedrycz, Elie Sanchez

  • Series Title: Theory and Decision Library D:

  • DOI: https://doi.org/10.1007/978-94-017-1650-5

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1989

  • Hardcover ISBN: 978-0-7923-0307-7Published: 31 July 1989

  • Softcover ISBN: 978-90-481-4050-3Published: 06 December 2010

  • eBook ISBN: 978-94-017-1650-5Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: XIV, 280

  • Topics: Mathematical Logic and Foundations, Artificial Intelligence, Computer Science, general

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