LEADER 05999nam 2200757 a 450 001 9911019642303321 005 20241120174802.0 010 $a9786612707599 010 $a9781282707597 010 $a1282707590 010 $a9780470599655 010 $a0470599650 010 $a9780470599631 010 $a0470599634 024 7 $a10.1002/9780470599655 035 $a(CKB)2670000000035019 035 $a(EBL)564983 035 $a(SSID)ssj0000425050 035 $a(PQKBManifestationID)11321906 035 $a(PQKBTitleCode)TC0000425050 035 $a(PQKBWorkID)10476624 035 $a(PQKB)10136636 035 $a(MiAaPQ)EBC564983 035 $a(CaBNVSL)mat05599324 035 $a(IDAMS)0b00006481354920 035 $a(IEEE)5599324 035 $a(OCoLC)662453006 035 $a(PPN)264809033 035 $a(Perlego)2765748 035 $a(EXLCZ)992670000000035019 100 $a20091016d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPerceptual computing $eaiding people in making subjective judgments /$fJerry M. Mendel, Dongrui Wu 210 $aPiscataway, NJ $cIEEE Press ;$aHoboken, N.J. $cJohn Wiley & Sons$dc2010 215 $a1 online resource (338 p.) 225 1 $aIEEE Press series on computational intelligence 300 $aDescription based upon print version of record. 311 08$a9780470478769 311 08$a0470478764 320 $aIncludes bibliographical references and index. 327 $aPreface -- 1 Introduction -- 1.1 Perceptual Computing -- 1.2 Examples -- 1.3 Historical Origins of Perceptual Computing -- 1.4 How to Validate the Perceptual Computer -- 1.5 The Choice of Fuzzy Set Models for the Per-C -- 1.6 Keeping the Per-C as Simple as Possible -- 1.7 Coverage of the Book -- 1.8 High-Level Synopses of Technical Details -- References -- 2 Interval Type-2 Fuzzy Sets -- 2.1 A Brief Review of Type-1 Fuzzy Sets -- 2.2 Introduction to Interval Type-2 Fuzzy Sets -- 2.3 Definitions -- 2.4 Wavy-Slice Representation Theorem -- 2.5 Set-Theoretic Operations -- 2.6 Centroid of an IT2 FS -- 2.7 KM Algorithms -- 2.8 Cardinality and Average Cardinality of an IT2 FS -- 2.9 Final Remark -- Appendix 2A. Derivation of the Union of Two IT2 FSs -- Appendix 2B. Enhanced KM (EKM) Algorithms -- References -- 3 Encoding: From a Word to a Model-The Codebook -- 3.1 Introduction -- 3.2 Person FOU Approach for a Group of Subjects -- 3.3 Collecting Interval End-Point Data -- 3.4 Interval End-Points Approach -- 3.5 Interval Approach -- 3.6 Hedges -- Appendix 3A. Methods for Eliciting T1 MF Information From Subjects -- Appendix 3B. Derivation of Reasonable Interval Test -- References -- 4 Decoding: From FOUs to a Recommendation -- 4.1 Introduction -- 4.2 Similarity Measure Used as a Decoder -- 4.3 Ranking Method Used as a Decoder -- 4.4 Classifier Used as a Decoder -- 5 Novel Weighted Averages as a CWW Engine -- 5.1 Introduction -- 5.2 Novel Weighted Averages -- 5.3 Interval Weighted Average -- 5.4 Fuzzy Weighted Average -- 5.5 Linguistic Weighted Average -- 5.6 A Special Case of the LWA -- 5.7 Fuzzy Extensions of Ordered Weighted Averages -- 6 IF-THEN Rules as a CWW Engine-Perceptual Reasoning -- 6.1 Introduction -- 6.2 A Brief Overview of Interval Type-2 Fuzzy Logic Systems -- 6.3 Perceptual Reasoning: Computations -- 6.4 Perceptual Reasoning: Properties -- 7 Assisting in Making Investment Choices-Investment Judgment Advisor (IJA) -- 7.1 Introduction -- 7.2 Encoder for the IJA. 327 $a7.3 Reduction of the Codebooks to User-Friendly Codebooks -- 7.4 CWW Engine for the IJA -- 7.5 Decoder for the IJA -- 7.6 Examples -- 7.7 Interactive Software for the IJA -- 7.8 Conclusions -- References -- 8 Assisting in Making Social Judgments-Social Judgment Advisor (SJA) -- 8.1 Introduction -- 8.2 Design an SJA -- 8.3 Using an SJA -- 8.4 Discussion -- 8.5 Conclusions -- References -- 9 Assisting in Hierarchical Decision Making-Procurement Judgment Advisor (PJA) -- 9.1 Introduction -- 9.2 Missile Evaluation Problem Statement -- 9.3 Per-C for Missile Evaluation: Design -- 9.4 Per-C for Missile Evaluation: Examples -- 9.5 Comparison with Previous Approaches -- 9.6 Conclusions -- Appendix 9A: Some Hierarchical Multicriteria Decision-Making Applications -- References -- 10 Assisting in Hierarchical and Distributed Decision Making- Journal Publication Judgment Advisor (JPJA)/ -- 10.1 Introduction -- 10.2 The Journal Publication Judgment Advisor (JPJA) -- 10.3 Per-C for the JPJA -- 10.4 Examples -- 10.4.5 Complete Reviews -- 10.5 Conclusions -- Reference -- 11 Conclusions -- 11.1 Perceptual Computing Methodology -- 11.2 Proposed Guidelines for Calling Something CWW -- Index. 330 $aExplains for the first time how ""computing with words"" can aid in making subjective judgments Lotfi Zadeh, the father of fuzzy logic, coined the phrase ""computing with words"" (CWW) to describe a methodology in which the objects of computation are words and propositions drawn from a natural language. Perceptual Computing explains how to implement CWW to aid in the important area of making subjective judgments, using a methodology that leads to an interactive device-a ""Perceptual Computer""-that propagates random and linguistic uncertainties into the subjective judgment in a way th 410 0$aIEEE series on computational intelligence. 606 $aHuman-computer interaction 606 $aComputational intelligence 606 $aDecision making 606 $aFuzzy sets 615 0$aHuman-computer interaction. 615 0$aComputational intelligence. 615 0$aDecision making. 615 0$aFuzzy sets. 676 $a006.3 700 $aMendel$b Jerry M.$f1938-$014372 701 $aWu$b Dongrui$0845750 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019642303321 996 $aPerceptual computing$91888044 997 $aUNINA