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Fuzzy Set Theory - and Its Applications
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TLDR
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
Data-driven fuzzy analysis in quantitative mineral resource assessment
X. Luo,Roussos Dimitrakopoulos +1 more
TL;DR: A novel, data-driven formulation for calculating MFIs based on fuzzy analysis is developed and is demonstrated in a case study of skarn tin deposits and is used to integrate geological, geochemical and magnetic data.
Journal ArticleDOI
A two-stage fuzzy approach for supplier evaluation and order allocation problem with quantity discounts and lead time
Ferhan Çebi,Irem Otay +1 more
TL;DR: A fuzzy model to support managers' decision on multi-product problem by evaluating lead time and quantity discounts simultaneously by utilizing MULTIMOORA and integrated it with multi-objective linear programming (MOLP) model under fuzzy environment is developed.
Journal ArticleDOI
On cluster-wise fuzzy regression analysis
Miin-Shen Yang,Cheng-Hsiu Ko +1 more
TL;DR: Numerical results give evidence that the one-stage procedure can be highly recommended in cluster-wise fuzzy regression analysis, which is used to overcome the heterogeneous problem in the fuzzy regression model.
Journal ArticleDOI
Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD
Konstantina Kamvysi,Katerina Gotzamani,Andreas Andronikidis,Andreas Andronikidis,Andreas C. Georgiou +4 more
TL;DR: The effectiveness of the proposed framework for prioritizing students’ requirements regarding courses’ learning outcomes within the process of an academic course design is assessed and the robustness of the prioritization solution is evaluated.
Journal ArticleDOI
Design of augmented fuzzy logic power system stabilizers to enhance power systems stability
TL;DR: In this paper, an augmented fuzzy logic power system stabilizer (PSS) was proposed for stability enhancement of multimachine power systems, where speed deviation and acceleration of a synchronous generator were taken as the input signals to the fuzzy controller.
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.