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ORCIDMDAI 2005: Tsukuba, Japan
- Vicenç Torra
, Yasuo Narukawa, Sadaaki Miyamoto:
Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings. Lecture Notes in Computer Science 3558, Springer 2005, ISBN 3-540-27871-0
Introduction
- Vicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto:
Modeling Decisions for Artificial Intelligence: Theory, Tools and Applications. 1-8
Invited Talks
- Michel Grabisch:
Capacities and Games on Lattices: A Survey of Results. 9-12 - Eiji Okamoto, Takeshi Okamoto:
Cryptosystems Based on Elliptic Curve Pairing. 13-23 - Ning Zhong:
Building a Brain-Informatics Portal on the Wisdom Web with a Multi-layer Grid: A New Challenge for Web Intelligence Research. 24-35 - Takehisa Onisawa:
Soft Computing in Human Centered Systems Thinking. 36-46
Regular Papers
- Rafal Grabos:
Qualitative Model of Game Theory. 47-58 - Jun Li, Masami Yasuda, Jinjie Song:
Regularity Properties of Null-Additive Fuzzy Measure on Metric Spaces. 59-66 - José-Antonio Alonso, María Teresa Lamata:
A Statistical Criterion of Consistency in the Analytic Hierarchy Process. 67-76 - Ching-Hsue Cheng, Jing-Rong Chang, Tien-Hwa Ho, An-Pin Chen:
Evaluating the Airline Service Quality by Fuzzy OWA Operators. 77-88 - Enrique Herrera-Viedma, Francisco Mata, Luis Martínez-López, Luis G. Pérez:
An Adaptive Module for the Consensus Reaching Process in Group Decision Making Problems. 89-98 - Tom Wanyama, Behrouz Homayoun Far:
Qualitative Reasoning Model for Tradeoff Analysis. 99-109 - Tetsuya Asanome, Toshiaki Nonaka, Yasunori Endo, Shin-ichi Nakazawa, Hiroshi Yoshikawa:
Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning. 110-121 - Takeshi Okamoto, Raylin Tso, Eiji Okamoto:
One-Way and Two-Party Authenticated ID-Based Key Agreement Protocols Using Pairing. 122-133 - Francesc Sebé, Josep Domingo-Ferrer, Agusti Solanas:
Noise-Robust Watermarking for Numerical Datasets. 134-143 - Kiyotaka Mizutani, Sadaaki Miyamoto:
Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization. 144-155 - Arnold C. Alanzado, Sadaaki Miyamoto:
Fuzzy c-Means Clustering in the Presence of Noise Cluster for Time Series Analysis. 156-163 - Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi:
Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. 164-171 - Katsuhiro Honda, Hidetomo Ichihashi:
A New Approach to Fuzzification of Memberships in Cluster Analysis. 172-182 - Yasunori Endo, Hayato Iwata:
Dynamic Clustering Based on Universal Gravitation Model. 183-193 - Ming He, Boqin Feng:
Extracting Classification Rules with Support Rough Neural Networks. 194-202 - Hiroshi Sakai, Tetsuya Murai, Michinori Nakata:
On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data. 203-214 - Masahiro Inuiguchi:
Several Approaches to Attribute Reduction in Variable Precision Rough Set Model. 215-226 - Michinori Nakata, Hiroshi Sakai:
Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion. 227-239 - Chang-Woo Park, Jongbae Lee, Minkee Park, Mignon Park:
Fuzzy Model Based Environmental Stiffness Identification in Stable Force Control of a Robot Manipulator. 240-251 - Yoichiro Maeda, Wataru Shimizuhira:
Omnidirectional Adaptive Behavior Control for Autonomous Mobile Robot. 252-263 - Young-Sup Hwang, Hoon Park, Yoojin Chung:
Pairwise Matching of Spots in 2-DE Images Using Hopfield Network. 264-271 - Eulalia Szmidt, Janusz Kacprzyk:
A New Concept of a Similarity Measure for Intuitionistic Fuzzy Sets and Its Use in Group Decision Making. 272-282 - Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Yuji Yoshida:
Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes. 283-293 - Jin-Hyuk Hong, Sung-Bae Cho:
Cancer Prediction Using Diversity-Based Ensemble Genetic Programming. 294-304 - Sungsoo Lim, Sung-Bae Cho:
Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming. 305-315 - Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. 316-327 - Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz:
A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. 328-337 - Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. 338-345 - Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. 346-353 - Chang-Woo Lee, Keechul Jung:
NMF-Based Approach to Font Classification of Printed English Alphabets for Document Image Understanding. 354-364 - Nacwoo W. Kim, TaeYong Kim, Jong-Soo Choi:
Edge-Based Spatial Descriptor Using Color Vector Angle for Effective Image Retrieval. 365-375 - K. H. Lee, Nacwoo W. Kim, Jong-Soo Choi:
Efficient 3D Model Retrieval Method Using Geometric Characteristics in Intersected Meshes. 376-386 - Slawomir Zadrozny:
Bipolar Queries Revisited. 387-398 - Cao Thang, Eric W. Cooper, Yukinobu Hoshino, Katsuari Kamei:
A Decision Support System for Rheumatic Evaluation and Treatment in Oriental Medicine Using Fuzzy Logic and Neural Network. 399-409 - Eric W. Cooper, Yuko Ishida, Katsuari Kamei:
Modeling Designers' Color Decision Processes Through Emotive Choice Mapping. 410-420 - Hajime Hotta, Masafumi Hagiwara:
An Automatic Rule Creating Method for Kansei Data and Its Application to a Font Creating System. 421-430 - Atsushi Nakano, Junichi Hoshino:
Video Motion Capture for Virtual Characters. 431-441 - Marek R. Ogiela, Ryszard Tadeusiewicz:
Picture Languages in Medical Pattern Knowledge Representation and Understanding. 442-447 - Shigeyuki Takahara:
Loading Problem in Multiple Containers and Pallets Using Strategic Search Method. 448-456 - Ciro Castiello, Giovanna Castellano, Anna Maria Fanelli:
Meta-data: Characterization of Input Features for Meta-learning. 457-468
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