1. Edition - May 2010
79.90 Euro
2010. 320 Pages, Softcover
ISBN-10: 0-470-47876-4
ISBN-13: 978-0-470-47876-9 - John Wiley & Sons






Sample Chapter

Short description
Lotfi Zadeh, the father of fuzzy logic, coined the phrase computing with words (CWW) to describe a methodology in which the computation objects are words drawn from a natural language. This text explains how to implement CWW for making subjective judgments using the three components of a Perceptual Computer (encoder, CWW engines, and decoder) and then providing detailed applications. The coverage divides the content into application chapters and detail chapters, including brief summaries of detail chapters for readers more interested in applications. This is an important go-to for researchers and students in AI, fuzzy logic, computer science in general, and psychology.

From the 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.