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Fuzzy sets in psychology /

This volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology. Fuzzy set theory could benefit researchers in at least two ways: first, as a metaphor or model for ordinary thought, and secondly, as an aid to d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Z�et�enyi, Tam�as
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : New York, N.Y., U.S.A. : North-Holland ; Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., 1988.
Colección:Advances in psychology (Amsterdam, Netherlands) ; 56.
Temas:
Acceso en línea:Texto completo
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MARC

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245 0 0 |a Fuzzy sets in psychology /  |c edited by Tam�as Z�et�enyi. 
260 |a Amsterdam ;  |a New York :  |b North-Holland ;  |a New York, N.Y., U.S.A. :  |b Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co.,  |c 1988. 
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490 1 |a Advances in psychology ;  |v 56 
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520 |a This volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology. Fuzzy set theory could benefit researchers in at least two ways: first, as a metaphor or model for ordinary thought, and secondly, as an aid to data analysis and theory construction. One can find examples for both kinds in the volume, which will be of interest both to the advanced student in the field as well as to anyone possessing a basic scientific background. 
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505 0 |a Front Cover; Fuzzy Sets in Psychology; Copyright Page; Preface; Contents; Chapter 1. Possibility Theory, Fuzzy Logic, and Psychological Explanation; Chapter 2. Quantifiers As Fuzzy Concepts; Chapter 3. A Common Framework For Colloquial Quantifiers and Probability Terms; Chapter 4. An Empirical Study Of The Integration Of Linguistic Probabilities; Chapter 5. A Fuzzy Propositional Account Of Contextual Effects On Word Recognition; Chapter 6. M-Fuzziness In Brain/Mind Modelling; Chapter 7. The Weighted Fuzzy Expected Value As An Activation Function For The Parallel Distributed Processing Models. 
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