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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
A fuzzy multi-attribute framework for supplier selection in an e-procurement environment
Eleonora Bottani,Antonio Rizzi +1 more
TL;DR: In this paper, the relevant criteria to be considered for the selection of the most viable suppliers in an e-procurement environment are first defined, and then the proposed selection criteria are structured into an original framework.
Journal ArticleDOI
Fuzzy continuous classification and spatial interpolation in conventional soil survey for soil mapping of the lower Piave plain
TL;DR: In this paper, the applicability of the fuzzy c-means approach to conventional soil surveys for detailed land use assessment with the purpose of taking into consideration the fuzziness of data collected in areas where soil type transitions are not easily observable on the surface was explored.
Journal ArticleDOI
Fuzzy Rule Based Modeling of Drilling Parameters for Delamination in Drilling GFRP Composites
B. Latha,V.S. Senthilkumar +1 more
TL;DR: In this article, a fuzzy rule based model is developed to predict the delamination in drilling of glass fiber reinforced plastic (GFRP) composites, and good agreement is observed between the predictive model results and experimental values.
Journal ArticleDOI
Complexity, fuzziness, and ergonomic incompatibility issues in the control of dynamic work environments
TL;DR: It is proposed that the aim of the science of ergonomics is to identify, determine, and reduce the undesirable system's entropy and is realized through the unique investigative process exploring the ergonomic system's incompatibilities.
Journal ArticleDOI
A method to control flexible manufacturing systems
TL;DR: This contribution presents an approach to control the releasing of parts into these systems and the scheduling of parts and tools in flexible manufacturing systems based primarily on fuzzy linear programming and approximate reasoning.
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.