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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
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management
Metin Dağdeviren,İhsan Yüksel +1 more
TL;DR: A fuzzy AHP approach is proposed to determine the level of faulty behavior risk (FBR) in work systems and faulty behavior is prevented before occurrence and work system safety is improved.
Journal ArticleDOI
An overview of fuzzy research with bibliometric indicators
TL;DR: A general overview of research in the fuzzy sciences using bibliometric indicators provides a general picture, identifying some of the most influential research in this area.
Journal ArticleDOI
Fuzzy VIKOR with an application to water resources planning
TL;DR: The fuzzy VIKOR method has been developed to solve fuzzy multicriteria problem with conflicting and noncommensurable (different units) criteria in a fuzzy environment where both criteria and weights could be fuzzy sets.
Journal ArticleDOI
Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods
TL;DR: A new methodology is proposed to provide a simple approach to assess alternative projects and help the decision-maker to select the best one for National Iranian Oil Company by using six criteria of comparing investment alternatives as criteria in an AHP and fuzzy TOPSIS techniques.
Journal ArticleDOI
A new approach for ranking of trapezoidal fuzzy numbers
Saeid Abbasbandy,Tayebeh Hajjari +1 more
TL;DR: This paper introduces a new approach for ranking of trapezoidal fuzzy numbers based on the left and the right spreads at some @a-levels of Trapezoid fuzzy numbers.
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.
Book
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.