Modeling Decisi*** for Artificial Intelligence: Second人工智能建模决策/2005年国际会议录 pdf 夸克云 tct umd 下载 2025 azw3 kindle

　　This book c***titutes the refereed proceedings of the Second International Conference on Modeling Decisi*** for Artificial Intelligence, MDAI 2005, held in Tsukuba, Japan in July 2005.

The 40 revised full papers presented togethe***ith an introduction by the editors and 4 invited lectures were thoroughly reviewed and selected from 118 submissi***. The papers are devoted to theory and tools for modeling decisi***, as well as applicati*** that encompass decision *** processes and information fusion techniques. Special focus is given to applicati*** related with risk, security and safety.

Introduction

Modeling Decisi*** for Artificial Intelligence: Theory,Tools and Applicati***

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 C***istency in the Analytic Hierarchy Process

Evaluating the Airline Service Quality by Fuzzy OWA ***s

An Adaptive Module for the C***ensus 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 C***idering 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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