Table Of ContentSYSTEMATIC ORGANISATION OF INFORMATION IN
FUZZY SYSTEMS
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Series III: Computer and Systems Sciences - Vol. 184 ISSN: 1387-6694
Systematic Organisation of
Information in Fuzzy Systems
Edited by
Pedro Melo-Pinto
Universidade de Tras-os-Montes e Alto Douro/CETAV,
Vila Real, Portugal
Horia-Nicolai Teodorescu
Romanian Academy, Bucharest, Romania
and
Technical University of Iasi, Iasi, Romania
and
Toshio Fukuda
Center for Cooperative Research in Advance Science and Technology,
Nagoya University, Nagoya, Japan
IOS
P r e s s
Ohmsha
Amsterdam • Berlin • Oxford • Tokyo • Washington, DC
Published in cooperation with NATO Scientific Affairs Division
Proceedings of the NATO Advanced Research Workshop on
Systematic Organisation of Information in Fuzzy Systems
24–26 October 2001
Vila Real, Portugal
© 2003, IOS Press
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted,
in any form or by any means, without prior written permission from the publisher.
ISBN 1 58603 295 X (IOS Press)
ISBN 4 274 90546 2 C3055 (Ohmsha)
Library of Congress Control Number: 2002112582
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Preface
Several developments in recent years require essential progresses in the field of information
processing, especially in information organization and aggregation. The Artificial
Intelligence (A.I.) domain relates to the way humans process information and knowledge
and is aiming to create machines that can perform tasks similar to humans in information
processing and knowledge discovery. A.I. specifically needs new methods for information
organization and aggregation. On the other hand, the information systems in general, and
the Internet-based systems specifically, have reached a bottleneck due to the lack of the
right tools for selecting the right information, aggregating information, and making use of
the results of these operations. In a parallel development, cognitive sciences, behavioral
science, economy, sociology and other human-related sciences need new theoretical tools to
deal with and better explain how humans select, organize and aggregate information in
relation to other information processing tasks, to goals and to knowledge the individuals
have. Moreover, methods and tools are needed to determine how the information
organization and aggregation processes contribute building patterns of behavior of
individuals, groups, companies and society. Understanding such behaviors will much help
in developing robotics, in clarifying the relationships humans and robots may or should
develop, and in determining how robotic communities can aggregate in the near future.
Several methods and tools are currently in use to perform information aggregation and
organization, including neural networks, fuzzy and neuro-fuzzy systems, genetic algorithms
and evolutionary programming. At least two new domains are present today in the field of
information processing: analysis of self-organization and information generation and
aggregation in dynamical systems, including large dynamical systems, and data mining and
knowledge discovery.
This volume should be placed in this context and in relation to the development of fuzzy
systems theory, specifically for the development of systems for information processing and
knowledge discovery.
The contributors to this volume review the state of the art and present new evolutions
and progresses in the domain of information processing and organization in and by fuzzy
systems and other types of systems using uncertain information. Moreover, information
aggregation and organization by means of tools offered by fuzzy logic are dealt with.
The volume includes four parts. In the first, introductory part of the volume, in three
chapters, general issues are addressed from a wider perspective. The second part of the
volume is devoted to several fundamental aspects of fuzzy information and its organization,
and includes chapters on the semantics of the information, on information quality and
relevance, and on mathematical models and computer science approaches to the
information representation and aggregation processes. The chapters in the third part are
emphasizing methods and tools to perform information organization, while the chapters in
the fourth part have the primary objective to present applications in various fields, from
robotics to medicine. Beyond purely fuzzy logic based approaches, the use of neuro-fuzzy
systems in information processing and organization is reflected in several chapters in the
volume.
The volume addresses in the first place the graduate students, doctoral students and
researchers in computer science and information science. Researchers and doctoral students
in other fields, like cognitive sciences, robotics, nonlinear dynamics, control theory and
economy may be interested in several chapters in this volume.
Acknowledgments
Thanks are due to the sponsors of the workshop, in the first place NATO Scientific
Affairs Division, as well as to the local sponsors, including the University of Tras-os-
Montes e Alto Douro/CETAV in Vila Real, Vila Real community, and the Ministry of
Science, Portugal. The University of Tras-os-Montes e Alto Douro/CETAV (UTAD) in
Vila Real, Portugal, and the Technical University of Iasi, Faculty of Electronics and
Telecommunications, Iasi, Romania, have been co-organizers of the NATO workshop. A
special mention for the gracious cooperation of the Rector of the University of Tras-os-
Montes e Alto Douro/CETAV, Prof. Torres Pereira, for the Vice-Rector of the same
university, Prof. Mascarenhas Ferreira, and for the very kind and active support of Prof.
Bulas-Cruz, Head of the Engineering Department at UTAD.
We gratefully acknowledge the contribution of the Engineering Department of UTAD
and the Group of Laboratories for Intelligent Systems and Bio-Medial Engineering,
Technical University of Iasi, Romania. Specifically, we acknowledge the work of several
colleagues in the Engineering Department of UTAD and in the Group of Laboratories for
Intelligent Systems and Bio-Medial Engineering of the University of Iasi in the
organization of this NATO workshop. Special thanks to Mr. J. Paulo Moura, who edited the
Proceedings volume of the Workshop, and to Mr. Radu Corban, system engineer, who
helped establishing and maintaining the web page of the Workshop. Also, we acknowledge
the work of several colleagues in the Group of Laboratories for Intelligent Systems and
Bio-Medial Engineering of University of Iasi in reviewing and frequently retyping parts of
the manuscript of this book. Thanks are due to the group of younger colleagues helping
with the internal reviewing process, namely Mr. Bogdan Branzila, Mrs. Oana Geman, and
Mr. Irinel Pletea. The help of Mr. Branzila, who, as a young researcher at the Institute of
Theoretical Informatics, has had the task to help correct the final form of the manuscript,
has been instrumental in the last months of preparation of the manuscript.
Last but not least, thanks are due to all those in the IOS Press editorial and production
departments who helped during the publication process; we had a very fruitful and pleasant
cooperation with them and they have always been very supportive.
June 2002
Pedro Melo-Pinto
Horia-Nicolai Teodorescu
Toshio Fukuda
My deepest thanks to Prof. Horia-Nicolai Teodorescu, a friend, for all the help and
support along these months, and for all the wonderful work he (and his team) did with this
volume.
A special thank you to Prof. Toshio Fukuda for cherishing, from the very first time, this
project.
June 2002
Pedro Melo-Pinto
Contents
Preface
Part I: Introduction
Toward a Perception-based Theory of Probabilistic Reasoning, Lotfi A. Zadeh 3
Information, Data and Information Aggregation in Relation to the User Model,
Horia-Nicolai Teodorescu 1
Uncertainty and Unsharpnes of Information, Walenty Ostasiewicz 11
Part II: Fundamentals
Uncertainty-based Information, George J. Klir 21
Organizing Information using a Hierarchical Fuzzy Model, Ronald R. Yager 53
Algebraic Aspects of Information Organization, Ioan Tofan and Aurelian Claudiu Volf 71
Automated Quality Assurance of Continuous Data, Mark Last and Abraham Kandel 89
Relevance of the Fuzzy Sets and Fuzzy Systems, Paulo Salgado 105
Self-organizing Uncertainty-based Networks, Horia-Nicolai Teodorescu 131
Intuitionistic Fuzzy Generalized Nets. Definitions, Properties, Applications,
Krasimir T. Atanasov and Nikolai G. Nikolov 161
Part III: Techniques
Dynamical Fuzzy Systems with Linguistic Information Feedback, Xiao-Zhi Gao and
Sepo J. Ovaska 179
Fuzzy Bayesian Nets and Prototypes for User Modelling, Message Filtering and Data
Mining, Jim F. Baldwin 197
Extending Fuzzy Temporal Profile Model for Dealing with Episode Quantification,
Senen Barro, Paulo Felix, Puriflcacion Carinena and Abraham Otero 205
Data Mining with Possibilistic Graphical Models, Christian Borgelt and Rudolf Kruse 229
Automatic Conversation Driven by Uncertainty Reduction and Combination of
Evidence for Recommendation Agents, Luis M. Rocha 249
Part IV: Applications
Solving Knapsack Problems using a Fuzzy Sets-based Heuristic, Armando Blanco,
David A. Pelta and Jose L. Verdegay 269
Evolution of Analog Circuits for Fuzzy Systems, Adrian Stoica 277
A Methodology for Incorporating Human Factors in Fuzzy-Probabilistic Modelling
and Risk Analysis of Industrial Systems, Miroslaw Kwiesielewicz and
Kazimierz T. Kosmowski 289
Systematic Approach to Nonlinear Modelling using Fuzzy Techniques, Drago Matko 307
Neural Networks Classifiers based on Membership Function ARTMAP, Peter Sincak,
Marcel Hric and Jan Vascak 321
Environmental Data Interpretation: Intelligent Systems for Modeling and Prediction
of Urban Air Pollution Data, Francesco Carlo Morabito and Mario Versaci 335
Fuzzy Evaluation Processing in Decision Support Systems, Constantin Gaindric 355
Behavior Learning of Hierarchical Behavior-based Controller for Brachiation Robot,
Toshio Fukuda and Yasuhisa Hasegawa 359
Filter Impulsive Noise, Fuzzy Uncertainty and the Analog Median Filter,
Paulo J.S.G. Fereira and Manuel J.C.S. Reis 373
Index of Terms 393
Contributors 395
Author Index 39
Part I
Introduction
