Computing with words in information/intelligent systems

著者

書誌事項

Computing with words in information/intelligent systems

Lofti A. Zadeh, Janusz Kacprzyk (eds.)

（Studies in fuzziness and soft computing, vol. 33-34）

Physica-Verlag, c1999

  • 1. Foundations
  • 2. Applications

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注記

Includes bibliographical references

収録内容

  • 1. Foundations
  • 2. Applications

内容説明・目次

巻冊次

1. Foundations ISBN 9783790812176

内容説明

These two volumes consIstmg of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a concept with blurred edges". In the first phrase, "the language game" implies the everyday human activity with language, and in the latter, "game" simply implies an ordinary word. Thus, Wittgenstein precisely stated that a word is fuzzy in real life. Unfortunately this idea about a word was not accepted in the conventional science. We had to wait for Zadeh's fuzzy sets theory. Remembering Wittgenstein's statement, we should consider, on the one hand, the concept of "computing with words" from a philosophical point of view. It deeply relates to the everyday use of a word in which the meaning of a word is fuzzy in its nature.

目次

  • M. Sugeno: Foreword.- L.A. Zadeh: What is Computing with Words?- Introductory Sections: L.A. Zadeh: Fuzzy Logic = Computing with Words
  • D. Dubois, L. Foulloy, S. Galichet, H. Prade: Performing Approximate Reasoning with Words?
  • R.R. Yager: Approximate Reasoning as a Basis for Computing with Words
  • L. Reznik: What is Intelligent Measurement?- Computing with Words: Linguistic Aspects: B.B. Rieger: Semiotics and Computational Linguistics. On Semiotic Cognitive Information Processing
  • M.J. Smithson: Words about Uncertainty: Analogies and Contexts
  • V. Dimitrov, B. Hodge: Virtual Meaning: Problems of Interpretation in the Social Sciences
  • H. Toth: Towards Fixing Some 'Fuzzy' Catchwords: A Terminological Primer.- Computing with Words and Information Granularity: T.Y. Lin: Granular Computing: Fuzzy Logic and Rough Sets
  • L. Polkowski, A. Skowron: Towards an Adaptive Calculus of Granules
  • R. De Caluwe, F. Devos, P. Maesfranckx, G. De Tre, B. Van der Cruyssen: Semantics and Modelling of Flexible Time Indications.- Computing with Words: Logical Aspects: W. Ostasiewicz: Towards Fuzzy Logic
  • E. Ferri, A. Kandel, G. Langholz: Fuzzy Negations
  • M. Wygralak: Triangular Operations, Negations, and Scalar Cardinality of a Fuzzy Set
  • E. Czogala, J. Leski: Fuzzy Implications in Approximate Reasoning
  • H. Thiele: On the Semantics of Fuzzy Linguistic Quantifiers
  • V. Novak, I. Perfilieva: Evaluating Linguistic Expressions and Functional Fuzzy Theories in Fuzzy Logic.- Computing with Words: Numerical Aspects: M. Delgado, F. Herrera, E. Herrera-Viedma, J.L. Verdegay, M.A. Vila: Aggregation of Linguistic Information Based on a Symbolic Approach.- General Frameworks for Computing with Words: R.R. Gudwin, F.A.C. Gomide: Object Networks: A Computational Framework to Compute with Words
  • Y. Hattori, T. Furuhashi: Study on a Framework for Solving Ill-defined Problem Using Patterns and Symbols
  • V. Kreinovich, B. Penn, S. Starks: From Expert Words Directly to Numerical Simulations: Group-Theoretic Approach to Computing with Words in Information/Intelligent Systems.
巻冊次

2. Applications ISBN 9783790812183

内容説明

These two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a concept with blurred edges". In the first phrase, "the language game" implies the everyday human activity with language, and in the latter, "game" simply implies an ordinary word. Thus, Wittgenstein precisely stated that a word is fuzzy in real life. Unfortunately this idea about a word was not accepted in the conventional science. We had to wait for Zadeh's fuzzy sets theory. Remembering Wittgenstein's statement, we should consider, on the one hand, the concept of "computing with words" from a philosophical point of view. It deeply relates to the everyday use of a word in which the meaning of a word is fuzzy in its nature.

目次

  • M. Sugeno: Foreword.- Neuro-Fuzzy and Genetic Systems for Computing with Words: S. Mitaim, B. Kosko: Neural Fuzzy Intelligent Agents
  • S. Siekmann, R. Neuneier, H.-G. Zimmermann, R. Kruse: Neuro Fuzzy Systems for Data Analysis
  • J. Leski, E. Czogala: A New Fuzzy Interference System Based on Artificial Neural Network and its Applications
  • O. Cordon, A. Gonzales, F. Herrera, R. Perez: Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling.- Tools for Linguistic Data Modeling and Analysis: H. Lee, H. Tanaka: Fuzzy Graphs with Linguistic Input-Outputs by Fuzzy Approximation Models
  • M.A. Gil, P.A. Gil, D.A. Ralescu: Fuzzy Random Variables: Modeling Linguistic Statistical Data.- Linguistic Models in System Reliability, Quality Control and Risk Analysis: T. Onisawa, A. Ohmori: Linguistic Model of System Reliability Analysis
  • P. Grzegorzewski, O. Hryniewicz: Lifetime Tests for Vague Data
  • C. Huang, D. Ruan: Systems Analytic Models for Fuzzy Risk Estimation.- Linguistic Models in Decision Making, Optimization and Control: H. Kiendl: Decision Analysis by Advanced Fuzzy Systems
  • J. kacprzyk, H. Nurmi, M. Fedrizzi: Group Decision Making and a Measure of Consensus under Fuzzy Preferences and a Fuzzy Linguistic Majority
  • S. Chanas, D. Kuchta: Linear Programming with Words
  • J.J. Buckley, T. Feuring: Computing with Words in Control
  • R. Kowalczyk: On Linguistic Fuzzy Constraint Satisfaction Problems.- Linguistic and Imprecise Information in Databases and Information Systems: G. Chen: Data Models for Dealing with Linguistic and Imprecise Information
  • F.E. Petry, M. Cobb, A. Morris: Fuzzy Set Approaches to Model Uncertainty in Spatial Data and Geographic Information Systems
  • J.C. Cubero, J.M. Medina, O.Pons, M.A. Vila: Computing Fuzzy Dependencies with Linguistic Labels
  • J. Kacprzyk, S. Zadrozny: The Paradigm of Computing with Words in Intelligent Database Querying
  • W. Pedrycz: Lingusitic Data Mining
  • R.A. Bustos, T.D. Gedeon: Evaluation of Connectionist Information Retrieval in a Legal Document Collection.- Applications. Information in Databases and Information Systems: M.E. Cohen, D.L. Hudson: Using Linguistic Models in Medical Decision Making
  • J.M. Mendel, S. Murphy, L.C. Miller, M. Martin, N. Karnik: The Fuzzy Logic Advisor for Social Judgements: A First Attempt
  • J. Zelger, A.G. de Wet, A.-M. Pothas, D. Petkov: Conceptualisation with GABEK: Ideas on Social Change in South Africa
  • F. Herrera, E. Lopez, C. Manadana, M. Rodriguez: A Linguistic Decision Model to Suppliers Selection in International Purchasing
  • L. Zerrouki, B. Bouchon-Meunier, R. Fondacci: Fuzzy System for Air Traffic Flow Management
  • G. Michalik, W. Mielczarski: A Fuzzy Approach to Contracting Electrical Energy in Competitive Electricity Markets
  • D. Ruan: Fuzzy Logic and Intelligent Computing in Nuclear Engineering
  • A. Filippidis, L.C. Jain, N.M. Martin: Computational Intelligence Techniques in Landmine Detection.

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