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Modeling Decisions for Artificial Intelligence

Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Vicenç Torra

    1. IIIA, Artificial Intelligence Research Institute CSIC, Spanish National Research Council, Bellaterra, Spain

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  2. Yasuo Narukawa

    1. Toho Gakuen, Tokyo, Japan

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  3. Sadaaki Miyamoto

    1. Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3558)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MDAI 2005.

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About this book

This volume contains papers presented at the 2nd International Conference on Modeling Decisions for Arti?cial Intelligence (MDAI 2005), held in Tsukuba, Japan, July 25–27. This conference follows MDAI 2004 (held in Barcelona, Catalonia, Spain), the proceedings of which were also published in the LNAI series (Vol. 3131). The aim of this conference was to provide a forum for researchers to discuss about theory and tools for modeling decisions, as well as applications that - compass decision-making processes and information fusion techniques. In this second edition, special focus was given to applications related to risk, security and safety. The organizers received 118 papers, from 14 di?erent countries, 40 of which are published in this volume. Each submission received at least two reviews from the Program Committee and a few external reviewers. We would like to express our gratitude to them for their work. The plenary talks presented at the conference are also included in this volume. The conference was supported by the Department of Risk Engineering of the University of Tsukuba, the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), the Catalan Association for Arti?cial Intelligence (ACIA), the European Society for Fuzzy Logic and Technology (EUSFLAT) and the Generalitat de Catalunya (AGAUR 2004XT 0004).

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Table of contents (45 papers)

  1. Front Matter

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  2. Introduction

    1. Modeling Decisions for Artificial Intelligence: Theory, Tools and Applications

      • Vicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto
      Pages 1-8

  4. Regular Papers

    1. Qualitative Model of Game Theory

      • Rafał Graboś
      Pages 47-58

    2. Regularity Properties of Null-Additive Fuzzy Measure on Metric Spaces

      • Jun Li, Masami Yasuda, Jinjie Song
      Pages 59-66

    3. A Statistical Criterion of Consistency in the Analytic Hierarchy Process

      • José Antonio Alonso, Ma Teresa Lamata
      Pages 67-76

    4. Evaluating the Airline Service Quality by Fuzzy OWA Operators

      • Ching-Hsue Cheng, Jing-Rong Chang, Tien-Hwa Ho, An-Pin Chen
      Pages 77-88

    5. An Adaptive Module for the Consensus Reaching Process in Group Decision Making Problems

      • Enrique Herrera-Viedma, Francisco Mata, Luis Martínez, Luis G. Pérez
      Pages 89-98

    6. Qualitative Reasoning Model for Tradeoff Analysis

      • Tom Wanyama, Behrouz Homayoun Far
      Pages 99-109

    7. Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning

      • Tetsuya Asanome, Toshiaki Nonaka, Yasunori Endo, Shin-ichi Nakazawa, Hiroshi Yoshikawa
      Pages 110-121

    8. One-Way and Two-Party Authenticated ID-Based Key Agreement Protocols Using Pairing

      • Takeshi Okamoto, Raylin Tso, Eiji Okamoto
      Pages 122-133

    9. Noise-Robust Watermarking for Numerical Datasets

      • Francesc Sebé, Josep Domingo-Ferrer, Agustí Solanas
      Pages 134-143

    10. Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization

      • Kiyotaka Mizutani, Sadaaki Miyamoto
      Pages 144-155

    11. Fuzzy c-Means Clustering in the Presence of Noise Cluster for Time Series Analysis

      • Arnold C. Alanzado, Sadaaki Miyamoto
      Pages 156-163

    12. Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals

      • Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
      Pages 164-171

    13. A New Approach to Fuzzification of Memberships in Cluster Analysis

      • Katsuhiro Honda, Hidetomo Ichihashi
      Pages 172-182

    14. Dynamic Clustering Based on Universal Gravitation Model

      • Yasunori Endo, Hayato Iwata
      Pages 183-193
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Other volumes

  1. Modeling Decisions for Artificial Intelligence

Editors and Affiliations

  • IIIA, Artificial Intelligence Research Institute CSIC, Spanish National Research Council, Bellaterra, Spain

    Vicenç Torra

  • Toho Gakuen, Tokyo, Japan

    Yasuo Narukawa

  • Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan

    Sadaaki Miyamoto

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