Computing with Words in Information/Intelligent Systems: Vol.2 Computing with Words in Information/Intelligent Systems 2
Applications
(Sprache: Englisch)
The volume is the first one in the world literature which is a comprehensive, up to date account on computing with words, a new direction in broadly perceived intelligent systems, proposed and advocated by Professor Zadeh, the founder of fuzzy sets theory...
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The volume is the first one in the world literature which is a comprehensive, up to date account on computing with words, a new direction in broadly perceived intelligent systems, proposed and advocated by Professor Zadeh, the founder of fuzzy sets theory and fuzzy logic. Computing with words may form a basis of a computational theory of perception inspired by a remarkable human ability to perform a wide variety of tasks on the basis of vague and imprecise information expressed in natural language. In Part 2, applications in a wide array of fields are presented which use the paradigm of computing with words, exemplified by reasoning, data analysis, data mining, machine learning, risk analyses, reliability and quality control, decision making, optimization and control, databases, medical diagnosis, business analyses, traffic management, power system planning, military applications, etc.
Klappentext zu „Computing with Words in Information/Intelligent Systems: Vol.2 Computing with Words in Information/Intelligent Systems 2 “
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.
Inhaltsverzeichnis zu „Computing with Words in Information/Intelligent Systems: Vol.2 Computing with Words in Information/Intelligent Systems 2 “
- 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. Cordón, A. Gonzales, F. Herrera, R. Pérez: 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.
Bibliographische Angaben
- 1999, 1999, 610 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben:Zadeh, Lotfi
- Herausgegeben: Lotfi Zadeh
- Verlag: Physica-Verlag
- ISBN-10: 3790812188
- ISBN-13: 9783790812183
- Erscheinungsdatum: 16.07.1999
Sprache:
Englisch
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