Modeling Decisions for Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 An Overview of Fuzzy Relational Calculus and Its Applications
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   Chapter 2 Golden Quadruplet: Optimization - Inequality - Identity - Operator
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   Chapter 3 Algorithms for String Pattern Discovery
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   Chapter 4 Voting in the Medieval Papacy and Religious Orders
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   Chapter 5 Static and Dynamic Coalition Formation in Group-Choice Decision Making
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   Chapter 6 A Multicriteria Fuzzy System Using Residuated Implication Operators and Fuzzy Arithmetic
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   Chapter 7 A Behavioral Analysis in Decision Making Using Weather Information with the Fuzzy Target Based Decision Model
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   Chapter 8 Group Decision Making: From Consistency to Consensus
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    Chapter 9 Weighting Individual Opinions in Group Decision Making
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    Chapter 10 An Active Learning Method Based on Most Possible Misclassification Sampling Using Committee
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    Chapter 11 Research on Next Generation Grids Using a Fuzzy Assessment Method
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    Chapter 12 Combining Prioritized Decisions in Classification
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    Chapter 13 An Aggregation of Agents, Roles and Coalition Formation to Support Collaborative and Dynamic Organizations
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    Chapter 14 Multidimensional Fuzzy Integrals
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    Chapter 15 Lindig’s Algorithm for Concept Lattices over Graded Attributes
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    Chapter 16 A Version of Lebesgue Decomposition Theorem for Non-additive Measure
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    Chapter 17 Trees in Concept Lattices
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    Chapter 18 An Axiomatization of Shapley Values of Games on Set Systems
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    Chapter 19 Formulation of Fuzzy c-Means Clustering Using Calculus of Variations
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    Chapter 20 CWC: A Clustering-Based Feature Weighting Approach for Text Classification
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    Chapter 21 A Novel Spatial Clustering Algorithm with Sampling
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    Chapter 22 Algorithms for Sequential Extraction of Clusters by Possibilistic Clustering
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    Chapter 23 Fuzzy c-Means for Data with Tolerance Defined as Hyper-Rectangle
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    Chapter 24 Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering
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    Chapter 25 c-Means Clustering on the Multinomial Manifold
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    Chapter 26 On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values
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    Chapter 27 Applying Rough Sets to Information Tables Containing Probabilistic Values
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    Chapter 28 Fuzzy Extension of Estimations with Randomness: The Perception-Based Approach
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    Chapter 29 Boltzmann Machine Incorporated Hybrid Neural Fuzzy System for Hardware/Software Partitioning in Embedded System Design
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    Chapter 30 Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
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    Chapter 31 A Multi-supplier and Return-Policy Newsboy Model with Limited Budget and Minimum Service Level by Using GA
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    Chapter 32 Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase
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    Chapter 33 An Evolutionary Algorithm with Diversified Crossover Operator for the Heterogeneous Probabilistic TSP
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    Chapter 34 Ordered Data Set Vectorization for Linear Regression on Data Privacy
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    Chapter 35 A Public-Key Protocol for Social Networks with Private Relationships
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    Chapter 36 An Incentive-Based System for Information Providers over Peer-to-Peer Mobile Ad-Hoc Networks
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    Chapter 37 Classification of Normal and Tumor Tissues Using Geometric Representation of Gene Expression Microarray Data
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    Chapter 38 A Seed-Based Method for Predicting Common Secondary Structures in Unaligned RNA Sequences
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    Chapter 39 Automatic Segmentation of Neoplastic Hepatic Disease Symptoms in CT Images
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    Chapter 40 A Robust Localization Method for Mobile Robots Based on Ceiling Landmarks
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    Chapter 41 Robust Parameter Decision-Making Based on Multidisciplinary Knowledge Model
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    Chapter 42 Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation
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    Chapter 43 A Study of Emotion Recognition and Its Applications
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    Chapter 44 Error Detection and Correction Based on Chinese Phonemic Alphabet in Chinese Text
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    Chapter 45 Mining Frequent Diamond Episodes from Event Sequences
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    Chapter 46 Modeling Decisions for the Time-Dependent Optimal Lane Configuration Policy with Queueing Theory and Mathematical Programming