Riassunto
Fuzzy logic is a way of thinking that is responsive to human zeal to unveil uncertainty and deal with social paradoxes emerging from it. In this book a number of articles illustrate various social applications to fuzzy logic. The engineering part of the book contains a number of papers, devoted to the description of fuzzy engineering design methodologies. In order to share the experience gained we select papers describing not the application result only but the way how this result has been obtained, that is explaining the design procedures. The potential readership of this book includes researchers and students, workers and engineers in both areas of social and engineering studies. It can be used as a handbook and textbook also. The book includes some examples of real fuzzy engineering.
Contenuti
L. Reznik, V. Dimitrov, J. Kacprzyk: Preface.- Philosophical and Mathematical Fundamentals of Fuzzy Systems Design: P.A. Duignan: Fuzzy Leadership: Dancing with Organisational Reality; H.T. Nguyen, V. Kreinovich: Multi-Criteria Optimization: an Important Foundation of Fuzzy System Design; V. Korotkih: A Mathematical Framework for Human Decision Making as an Integrated Part of the Whole; A.E. Gorodetsky: Fuzzy Decision Making in Design on the Basis of the Habituality Situation Application; B. Pham: Fuzzy Logic Applications in Computer Aided Design; J. Kacprzyk: Including Socioeconomic Aspects in a Fuzzy Multistage Decision Making Model of Regional Development Planning.- Fuzzy System Design for Social Applications : R. Woog, V. Dimitrov, L. Kuhn-White: Fuzzy Logic as an Evocative Framework for Studying Social Systems; V. Dimitrov, K. Kopra: Fuzzy Logic and the Management of Social Complexity; M. Smithson, B.Hesketh: Using Fuzzy Sets to Extend Holland's Theory of Occupational Interests; A. Anderson: A Model for Fuzzy Personal Construct Psychology; D. McNeil, V. Dimitrov: On the Topology of Uncertainty.- Fuzzy System Design for Engineering Applications: L. Reznik: Fuzzy Controller Design for Different Applications: Evolution, Methods, and Practical Recommendations; L.T. Kóczy, D. Tikk: Approximation of Transfer Functions by Various Fuzzy Controllers; L. Berrah, G. Mauris, L. Foulloy, A. Haurat: Fuzzy Performance Indicators for the Control of Manufacturing Processes; N.K. Kasabov: Advanced Neuro-Fuzzy Engineering for Building Intelligent Adaptive Information Systems; W. Mielczarski, M.E. Khan: Linguistic Variables in Surveys of Intentions to Purchase Energy Efficient Equipment; O. Ghanayem, L. Reznik: A UniversalApproach to Adaptive Fuzzy Logic Controller Design with an Application to a Power Generator Excitation Control; T. Rauma, M. Kurki: Fuzzy Logic Applications in Diagnosing Mechatronic Systems; P.S.K. Leung: Application of Fuzzy Logic to Handoff Control in Cellular Mobile Communication Networks.
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