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Perceptual computing : aiding people in making subjective judgments / Jerry M. Mendel, Dongrui Wu.

By: Contributor(s): Material type: TextTextSeries: IEEE Press series on computational intelligence ; 13Publisher: Piscataway, New Jersey : IEEE Press, c2010Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2010]Description: 1 PDF (xvi, 320 pages) : illustrationsContent type:
  • text
Media type:
  • electronic
Carrier type:
  • online resource
ISBN:
  • 9780470599655
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 006.3
Online resources: Also available in print.
Contents:
Preface -- 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.
7.3 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.
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Includes bibliographical references and index.

Preface -- 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.

7.3 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.

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