Advances in Fuzzy Implication Functions (Record no. 51590)

000 -LEADER
fixed length control field 03751nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-642-35677-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220216.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130125s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642356773
-- 978-3-642-35677-3
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Advances in Fuzzy Implication Functions
300 ## - PHYSICAL DESCRIPTION
Number of Pages VII, 209 p.
490 1# - SERIES STATEMENT
Series statement Studies in Fuzziness and Soft Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 An Overview of Construction Methods of Fuzzy Implications -- Fuzzy Implications: Classification and a New Class -- A Survey of the Distributivity of Implications over Continuous T-norms and the Simultaneous Satisfaction of the Contrapositive Symmetry -- Implication Functions in Interval-valued Fuzzy Set Theory -- (S;N)-Implications on Bounded Lattices -- Implication Functions Generated Using Functions of one Variable -- Compositions of Fuzzy Implications -- Fuzzy Implications: Some Recently Solved Problems.
520 ## - SUMMARY, ETC.
Summary, etc Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. These functions are not only fundamental for fuzzy logic systems, fuzzy control, approximate reasoning and expert systems, but they also play a significant role in mathematical fuzzy logic, in fuzzy mathematical morphology and image processing, in defining fuzzy subsethood measures and in solving fuzzy relational equations. This volume collects 8 research papers on fuzzy implication functions. Three articles focus on the construction methods, on different ways of generating new classes and on the common properties of implications and their dependencies. Two articles discuss implications defined on lattices, in particular implication functions in interval-valued fuzzy set theories. One paper summarizes the sufficient and necessary conditions of solutions for one distributivity equation of implication. The following paper analyzes compositions based on a binary operation * and discusses the dependencies between the algebraic properties of this operation and the induced sup-* composition. The last article discusses some open problems related to fuzzy implications, which have either been completely solved or those for which partial answers are known. These papers aim to present today's state-of-the-art in this area.
700 1# - AUTHOR 2
Author 2 Baczyński, Micha�.
700 1# - AUTHOR 2
Author 2 Beliakov, Gleb.
700 1# - AUTHOR 2
Author 2 Bustince Sola, Humberto.
700 1# - AUTHOR 2
Author 2 Pradera, Ana.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-35677-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1434-9922 ;
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-- ZDB-2-ENG

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