LEADER 05352nam 2200793Ia 450 001 9910811879303321 005 20200520144314.0 010 $a9786610367986 010 $a9781280367984 010 $a1280367989 010 $a9780470346686 010 $a047034668X 010 $a9780471644668 010 $a0471644668 010 $a9780471644675 010 $a0471644676 035 $a(CKB)111090425022640 035 $a(EBL)189929 035 $a(OCoLC)475900961 035 $a(SSID)ssj0000157590 035 $a(PQKBManifestationID)11167592 035 $a(PQKBTitleCode)TC0000157590 035 $a(PQKBWorkID)10139497 035 $a(PQKB)11378152 035 $a(MiAaPQ)EBC189929 035 $a(Au-PeEL)EBL189929 035 $a(CaPaEBR)ebr10114063 035 $a(CaONFJC)MIL36798 035 $a(OCoLC)55843183 035 $a(PPN)242524869 035 $a(Perlego)2760321 035 $a(EXLCZ)99111090425022640 100 $a20030926d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFoundations of soft case-based reasoning /$fSankar K. Pal, Simon C.K. Shiu 205 $a1st ed. 210 $aHoboken, N.J. $cJohn Wiley & Sons$dc2004 215 $a1 online resource (298 p.) 225 1 $aWiley series on intelligent systems 300 $a"A Wiley-Interscience publication." 311 08$a9780471086352 311 08$a0471086355 320 $aIncludes bibliographical references and index. 327 $aFOUNDATIONS OF SOFT CASE-BASED REASONING; CONTENTS; FOREWORD; PREFACE; ABOUT THE AUTHORS; 1 INTRODUCTION; 1.1 Background; 1.2 Components and Features of Case-Based Reasoning; 1.2.1 CBR System versus Rule-Based System; 1.2.2 CBR versus Human Reasoning; 1.2.3 CBR Life Cycle; 1.3 Guidelines for the Use of Case-Based Reasoning; 1.4 Advantages of Using Case-Based Reasoning; 1.5 Case Representation and Indexing; 1.5.1 Case Representation; 1.5.2 Case Indexing; 1.6 Case Retrieval; 1.7 Case Adaptation; 1.8 Case Learning and Case-Base Maintenance; 1.8.1 Learning in CBR Systems 327 $a1.8.2 Case-Base Maintenance1.9 Example of Building a Case-Based Reasoning System; 1.9.1 Case Representation; 1.9.2 Case Indexing; 1.9.3 Case Retrieval; 1.9.4 Case Adaptation; 1.9.5 Case-Base Maintenance; 1.10 Case-Based Reasoning: Methodology or Technology?; 1.11 Soft Case-Based Reasoning; 1.11.1 Fuzzy Logic; 1.11.2 Neural Networks; 1.11.3 Genetic Algorithms; 1.11.4 Some CBR Tasks for Soft Computing Applications; 1.12 Summary; References; 2 CASE REPRESENTATION AND INDEXING; 2.1 Introduction; 2.2 Traditional Methods of Case Representation; 2.2.1 Relational Representation 327 $a2.2.2 Object-Oriented Representation2.2.3 Predicate Representation; 2.2.4 Comparison of Case Representations; 2.3 Soft Computing Techniques for Case Representation; 2.3.1 Case Knowledge Representation Based on Fuzzy Sets; 2.3.2 Rough Sets and Determining Reducts; 2.3.3 Prototypical Case Generation Using Reducts with Fuzzy Representation; 2.4 Case Indexing; 2.4.1 Traditional Indexing Method; 2.4.2 Case Indexing Using a Bayesian Model; 2.4.3 Case Indexing Using a Prototype-Based Neural Network; 2.4.4 Case Indexing Using a Three-Layered Back Propagation Neural Network; 2.5 Summary; References 327 $a3 CASE SELECTION AND RETRIEVAL3.1 Introduction; 3.2 Similarity Concept; 3.2.1 Weighted Euclidean Distance; 3.2.2 Hamming and Levenshtein Distances; 3.2.3 Cosine Coefficient for Text-Based Cases; 3.2.4 Other Similarity Measures; 3.2.5 k-Nearest Neighbor Principle; 3.3 Concept of Fuzzy Sets in Measuring Similarity; 3.3.1 Relevance of Fuzzy Similarity in Case Matching; 3.3.2 Computing Fuzzy Similarity Between Cases; 3.4 Fuzzy Classification and Clustering of Cases; 3.4.1 Weighted Intracluster and Intercluster Similarity; 3.4.2 Fuzzy ID3 Algorithm for Classification 327 $a3.4.3 Fuzzy c-Means Algorithm for Clustering3.5 Case Feature Weighting; 3.5.1 Using Gradient-Descent Technique and Neural Networks; 3.5.2 Using Genetic Algorithms; 3.6 Case Selection and Retrieval Using Neural Networks; 3.6.1 Methodology; 3.6.2 Glass Identification; 3.7 Case Selection Using a Neuro-Fuzzy Model; 3.7.1 Selection of Cases and Class Representation; 3.7.2 Formulation of the Network; 3.8 Case Selection Using Rough-Self Organizing Map; 3.8.1 Pattern Indiscernibility and Fuzzy Discretization of Feature Space; 3.8.2 Methodology for Generation of Reducts; 3.8.3 Rough SOM 327 $a3.8.4 Experimental Results 330 $aProvides a self-contained description of this important aspect of information processing and decision support technology.Presents basic definitions, principles, applications, and a detailed bibliography.Covers a range of real-world examples including control, data mining, and pattern recognition. 410 0$aWiley series on intelligent systems. 606 $aSoft computing 606 $aCase-based reasoning 615 0$aSoft computing. 615 0$aCase-based reasoning. 676 $a006.3 700 $aPal$b Sankar K$0117447 701 $aShiu$b Simon C. K$01666391 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910811879303321 996 $aFoundations of soft case-based reasoning$94025644 997 $aUNINA