Perceptual computing : aiding people in making subjective judgments 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 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