MARC Record from Library of Congress

LEADER: 02614cam a2200325 a 4500
001 2012953384
003 DLC
005 20130409125337.0
008 121106s2013 gw a b 001 0 eng d
010 $a 2012953384
016 7 $a016263199$2Uk
020 $a9783642352201 (alk. paper)
020 $a3642352200 (alk. paper)
020 $a9783642352218 (e-ISBN)
035 $a(OCoLC)ocn816512494
040 $aYDXCP$cYDXCP$dBTCTA$dOCLCQ$dBWX$dMUU$dUKMGB$dDLC
042 $alccopycat
050 00 $aQA248.5$b.B43 2013
082 04 $a511.3/223$223
100 1 $aBede, Barnabas.
245 10 $aMathematics of fuzzy sets and fuzzy logic /$cBarnabas Bede.
260 $aHeidelberg ;$aNew York :$bSpringer,$cc2013.
300 $axii, 276 p. :$bill. ;$c24 cm.
490 1 $aStudies in fuzziness and soft computing ;$v295
505 0 $a1. Fuzzy sets -- 2. Fuzzy set-theoretic operations -- 3. Fuzzy relations -- 4. Fuzzy numbers -- 5. Fuzzy arithmetic -- 6. Fuzzy inference -- 7. Single input single output fuzzy systems -- 8. Fuzzy analysis -- 9. Fuzzy differential equations -- 10. Extensions of fuzzy set theory -- 11. Possibility theory -- 12. Fuzzy clustering -- 13. Fuzzy transform -- 14. Artificial neural networks and neuro-fuzzy systems -- Appendices.
520 3 $a"This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic. Fuzzy Sets have been introduced by Lotfi Zadeh in 1965 and since then, they have been used in many applications. As a consequence, there is a vast literature on the practical applications of fuzzy sets, while theory has a more modest coverage. The main purpose of the present book is to reduce this gap by providing a theoretical introduction into Fuzzy Sets based on Mathematical Analysis and Approximation Theory. Well-known applications, as for example fuzzy control, are also discussed in this book and placed on new ground, a theoretical foundation. Moreover, a few advanced chapters and several new results are included. These comprise, among others, a new systematic and constructive approach for fuzzy inference systems of Mamdani and Takagi-Sugeno types, that investigates their approximation capability by providing new error estimates."--P. 4 of cover.
504 $aIncludes bibliographical references and index.
650 0 $aFuzzy sets.
650 0 $aFuzzy logic.
830 0 $aStudies in fuzziness and soft computing ;$vv. 295.