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100   $a20080122d2007      uy             0
101 0 $aeng
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200 10$aFuzzy logic for business, finance, and management$b[electronic resource] /$fGeorge Bojadziev, Maria Bojadziev
205   $a2nd ed.
210   $aHackensack, NJ $cWorld Scientific$dc2007
215   $a1 online resource (253 p.)
225 1 $aAdvances in fuzzy systems ;$vv. 12
300   $aDescription based upon print version of record.
311   $a981-270-649-6 
320   $aIncludes bibliographical references (p. 217-222) and index.
327   $aContents; Foreword; Preface to the Second Edition; Preface to the First Edition; List of Case Studies; 1 Fuzzy Sets; 2 Fuzzy Logic; 3 Fuzzy Averaging for Forecasting; 4 Decision Making in a Fuzzy Environment; 5 Fuzzy Logic Control for Business, Finance, and Management; 6 Applications of Fuzzy Logic Control; 7 Fuzzy Queries from Databases: Applications; References; Index
330   $aThis is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications pres
410  0$aAdvances in fuzzy systems ;$vv. 12.
606   $aDecision making$xData processing
606   $aBusiness forecasting$xData processing
606   $aFuzzy logic
606   $aSystem analysis
608   $aElectronic books.
615  0$aDecision making$xData processing.
615  0$aBusiness forecasting$xData processing.
615  0$aFuzzy logic.
615  0$aSystem analysis.
676   $a511.313
676   $a658.403
700   $aBojadziev$b George$0722331
701   $aBojadziev$b Maria$0722330
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906   $aBOOK
912   $a9910450686103321
996   $aFuzzy logic for business, finance, and management$91408481
997   $aUNINA

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