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Modeling Decisions for Artificial Intelligence

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Cover of '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
Attention for Chapter 26: On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values
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Chapter title
On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values
Chapter number 26
Book title
Modeling Decisions for Artificial Intelligence
Published by
Springer Berlin Heidelberg, August 2007
DOI 10.1007/978-3-540-73729-2_26
Book ISBNs
978-3-54-073728-5, 978-3-54-073729-2
Authors

Hiroshi Sakai, Kazuhiro Koba, Ryuji Ishibashi, Michinori Nakata

Editors

Vicenç Torra, Yasuo Narukawa, Yuji Yoshida