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Modeling Decisions for Artificial Intelligence: Second人工智能建模决策/2005年国际会议录书籍详细信息
- ISBN：3540278710
- 作者：暂无作者
- 出版社：暂无出版社
- 出版时间：2005-09
- 页数：470
- 价格：596.60
- 纸张：胶版纸
- 装帧：平装
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内容简介：
This book constitutes the refereed proceedings of the Second International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005, held in Tsukuba, Japan in July 2005.
The 40 revised full papers presented together with an introduction by the editors and 4 invited lectures were thoroughly reviewed and selected from 118 submissions. The papers are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. Special focus is given to applications related with risk, security and safety.
书籍目录：
Introduction
Modeling Decisions for Artificial Intelligence: Theory,Tools and Applications
Invited Talks
Capacities and Games on Lattices:A Survey of Results
Cryptosystems Based on Elliptic Curve Paiting
Building a Braing-Informatics Portal on the Wisdom Web with a Multi-layer Grid: A New Challenge for Web Intelligence Research
Soft Computing in Human Centered Systems Thinking
Regular Papers
Qualitative Model of Game Theory
Regularity Properties of Null-Additive Fuzzy Measure on Metric Spaces
A Statistical Criterion of Consistency in the Analytic Hierarchy Process
Evaluating the Airline Service Quality by Fuzzy OWA Operators
An Adaptive Module for the Consensus Reaching Process in Group Decision Making Problems
Qualitative Reasoning Model for Tradeoff Analysis
Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning
One-Way and Two-Party Authenticated ID-Based Key Agreement Protocols Using Pairing
Noise-Robust Watermarking for Numerical Datasets
Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization
Fuzzy c-Means Clustering in the Presence of Noise Cluster for Time Series Analysis
Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals
A New Approach to Fuzzification of Memberships in Cluster Analysis
Dynamic Clustering Based on Universal Gravitation Model
Extracting Classification Rules with Support Rough Neual Networks
……
Author Index
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