Contents Part Ⅰ Basic Theory and Method of Comprehensive Evaluation: Based on Perspective of Elements Chapter 1 Introduction 3 Quarter 1 Basic Problems and Perception of Comprehensive Evaluation 3 Quarter 2 Comprehensive Evaluation Process and Method System Based on the Perspective of Elements 27 Quarter 3 Several Frontier Problems of Comprehensive Evaluation 51 Chapter 2 Indicator Processing Theory 57 Quarter 1 Identification and Processing of Abnormal Indicators 58 Quarter 2 Processing of Missing Data of Indicators—Interpolation Method 72 Quarter 3 Data Quality Control Method 77 Quarter 4 Dimensionless Method and Its Application in Static Evaluation 78 Quarter 5 Dimensionless Method and Its Application in Dynamic Evaluation 90 Chapter 3 Weight Theory 95 Quarter 1 Single Criterion AHP Constructing Weight Method 95 Quarter 2 AHP Based on D Measure 102 Quarter 3 AHP Theory Based on Incomplete Matrix 107 Quarter 4 Expert Group Constructing Weight Theory 110 Quarter 5 Other Commonly Used Constructing Weight Methods 116 Chapter 4 Aggregation Operators Theory 127 Quarter 1 Aggregation Method Based on Indicator Performance 128 Quarter 2 Aggregation Method Based on Location Information 136 Quarter 3 Aggregation Method Combining Performance with Location Information 151 Part Ⅱ Frontier Problems and Applications of Comprehensive Evaluation Theory Chapter 5 Frontier Problems and Applications Based on BoD Constructing Weight Method 165 Quarter 1 The Basic Idea of BoD Constructing Weight Method 165 Quarter 2 Non-compensatory BoD Constructing Weight Method and Its Application 169 Quarter 3 Compensatory BoD Constructing Weight Method and Its Application 177 Quarter 4 Extensions of BoD Method and Its Application 181 Chapter 6 Frontier Problems and Application of Group Evaluation Based on Subject-object Grouping 190 Quarter 1 Group Evaluation Problems Based on Subject-object Grouping 190 Quarter 2 Chain Group Evaluation Problem Based on Subject-object Grouping 191 Quarter 3 Two-stage Group Evaluation Problem Based on Subject-object Grouping 201 Chapter 7 Frontier Problems and Applications of Comprehensive Evaluation Based on Interval Number 222 Quarter 1 Interval Number and Its Comprehensive Evaluation 222 Quarter 2 Multi-index TOPSIS Method Based on Interval Number 226 Quarter 3 Evaluation Problem Based on Interval OWA Operator 230 Quarter 4 Multi-point Principal Component Evaluation Problem Based on Interval Distribution Information 235 Chapter 8 Frontier Problems and Applications Based on Fuzzy Theory 249 Quarter 1 Comprehensive Evaluation Problems Based on Fuzzy Theory 249 Quarter 2 Comprehensive Evaluation Problems and Applications based on Double Hierarchy Linguistic Term Set 252 Quarter 3 Comprehensive Evaluation Problems and Applications Based on Pythagorean Fuzzy Set 266 Quarter 4 Comprehensive Evaluation Problems and Applications Based on Hesitant Probabilistic Fuzzy Number 281 Chapter 9 Frontier Problems and Applications of Comprehensive Evaluation Based on Functional Data 298 Quarter 1 The “Global” Scatter Degree Method Based on Functional Data 299 Quarter 2 Functional Clustering Method Based on Extreme Point Bias Compensation 312 Quarter 3 Interval Functional Principal Component Analysis 332 References 351 Appendixes 376 Postscript 379
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