Perceptual Computing Aiding People in Making Subjective Judgments

Dongrui Wu is a Postdoctoral Research Associate at the University of Southern California, where he recently obtained his PhD in electrical engineering.

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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