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Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications

Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications (Hardcover)

Rudolf Seising (엮은이)
Springer Verlag
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Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications
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책 정보

· 제목 : Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications (Hardcover) 
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 응용수학
· ISBN : 9783540938019
· 쪽수 : 580쪽
· 출판일 : 2009-04-03

목차

Fuzzy Sets and Systems and Philosophy of Science.- Fuzzy Systems and Scientific Method - Meta-level Reflections and Prospects.- Fuzzy Logic and Science.- Fuzzy Logic, Concepts and Semantic Transformers.- Phenomenology as a Criterion for Formalism Choice.- Computational Theory of Meaning Articulation: A Human Estimation Approach to Fuzzy Arithmetic.- Power Sets, Implications and Set Inclusions Revisited - Retrospect and Prospect: A Review of Bandler and Kohout's Paper and a Survey of 30 Years of Subsequent Developments.- Probability and Fuzziness - Echoes from 30 Years Back.- On a Model for the Meaning of Predicates - A Naive Approach to the Genesis of Fuzzy Sets.- Fuzzy Logic as a Theory of Vagueness: 15 Conceptual Questions.- Dialogue Games as Foundation of Fuzzy Logics.- Connecting a Tenable Mathematical Theory to Models of Fuzzy Phenomena.- Many-Valuation, Modality, and Fuzziness.- Fuzzy Thinking in Sociology.- Fuzzy Set Theory and the Philosophical Foundations of Medicine.- Fuzzy Preferences as a Convenient Tool in Group Decision Making and a Remedy for Voting Paradoxes.- What We Are Learning from Neurosciences about Decision-Making: A Quest for Fuzzy Set Technology.- Postmodernism and Control Engineering.- Fuzzy Mechanisms for Qualitative Causal Relations.- On the Relation between Fuzzy and Quantum Logic.- Fuzzy Cluster Analysis from the Viewpoint of Robust Statistics.- On the Usefulness of Fuzzy Sets in Data Mining.- The Uncertainty Associated with a Type-2 Fuzzy Set.- Fuzziness - Representation of Dynamic Changes by Ordered Fuzzy Numbers.- Meta Sets - Another Approach to Fuzziness.- Regression Model Based on Fuzzy Random Variables.- Optimal Workers' Placement in an Industrial Environment.

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