Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:956347073:2812 |
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LEADER: 02812nam a22005055a 4500
001 013840854-8
005 20131206202004.0
008 121227s1999 xxu| s ||0| 0|eng d
020 $a9781461552437
020 $a9781461552437
020 $a9781461373902
024 7 $a10.1007/978-1-4615-5243-7$2doi
035 $a(Springer)9781461552437
040 $aSpringer
050 4 $aQA8.9-10.3
072 7 $aPBC$2bicssc
072 7 $aPBCD$2bicssc
072 7 $aMAT018000$2bisacsh
082 04 $a511.3$223
100 1 $aBezdek, James C.,$eeditor.
245 10 $aFuzzy Sets in Approximate Reasoning and Information Systems /$cedited by James C. Bezdek, Didier Dubois, Henri Prade.
264 1 $aBoston, MA :$bSpringer US :$bImprint: Springer,$c1999.
300 $aXV, 514 p.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aHandbooks of fuzzy sets series,$x1388-4352 ;$v5
520 $aApproximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.
650 24 $aArtificial Intelligence (incl. Robotics)
650 10 $aMathematics.
650 0 $aData structures (Computer science)
650 0 $aMathematics.
650 0 $aArtificial intelligence.
650 0 $aInformation Systems.
650 0 $aLogic, Symbolic and mathematical.
650 24 $aMathematical Logic and Foundations.
650 24 $aManagement of Computing and Information Systems.
650 24 $aData Structures, Cryptology and Information Theory.
700 1 $aPrade, Henri,$eeditor.
700 1 $aDubois, Didier,$eeditor.
776 08 $iPrinted edition:$z9781461373902
830 0 $aHandbooks of Fuzzy Sets Series ;$v5.
988 $a20131119
906 $0VEN