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Fuzzy Set Theory - and Its Applications
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The book updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.Abstract:
Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers. The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. All chapters have been updated. Exercises are included.read more
Citations
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Journal ArticleDOI
Newton's method for solving fuzzy nonlinear equations
Saeid Abbasbandy,B. Asady +1 more
TL;DR: The numerical solution for a fuzzy nonlinear equation by Newton's method is proposed and the fuzzy quantities are presented in parametric form.
Journal ArticleDOI
Use of Fuzzy Risk Assessment in FMEA of Offshore Engineering Systems
Zaili Yang,Jin Wang +1 more
TL;DR: A novel framework for analysing and synthesising engineering system risks on the basis of a generic Fuzzy Evidential Reasoning approach to simplify the inference process and overcome the problems of traditional fuzzy rule based methods in risk analysis and decision making is proposed.
Journal ArticleDOI
A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey
TL;DR: In this paper, an integrated methodology to identify and evaluate driving factors like geographical locations at the time of the incident and failure modes causing fatality for cargo ships is proposed, which leads to more reliable and realistic solutions.
Journal ArticleDOI
Mixed interval–fuzzy two-stage integer programming and its application to flood-diversion planning
Y.P. Li,Guohe Huang,Shaofang Nie +2 more
TL;DR: In this paper, a mixed interval-fuzzy two-stage integer programming (IFTIP) method is developed for flood diversion planning under uncertainty by allowing uncertainties expressed as probability distributions, fuzzy sets, and discrete intervals to be directly incorporated within the optimization framework.
Journal ArticleDOI
A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul
TL;DR: In this paper, a hierarchical customer satisfaction framework is proposed to measure rail transit lines' performances in Istanbul, where the problems related to rail transit line systems are addressed via customer satisfaction surveys.
References
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Book
Decision-making in a fuzzy environment
Richard Bellman,Lotfi A. Zadeh +1 more
TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Book ChapterDOI
A framework for representing knowledge
TL;DR: The enormous problem of the volume of background common sense knowledge required to understand even very simple natural language texts is discussed and it is suggested that networks of frames are a reasonable approach to represent such knowledge.
Journal ArticleDOI
Social Choice and Individual Values.
Leo A. Goodman,Kenneth J. Arrow +1 more
TL;DR: In this article, the authors present a destination search and find the appropriate manuals for their products, providing you with many Social Choice And Individual Values. You can find the manual you are interested in in printed form or even consider it online.
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Principles of Artificial Intelligence
TL;DR: This classic introduction to artificial intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval.
Journal ArticleDOI
Fuzzy programming and linear programming with several objective functions
TL;DR: It is shown that solutions obtained by fuzzy linear programming are always efficient solutions and the consequences of using different ways of combining individual objective functions in order to determine an “optimal” compromise solution are shown.