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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.

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Journal ArticleDOI

A fuzzy back propagation network for output time prediction in a wafer fab

Tin-Chih Chen
TL;DR: The results of five test cases showed the FBPN outperformed the crisp BPN in the efficiency respect, including starting with a much smaller initial root mean square error (RMSE) and requiring much fewer epochs for convergence.
Journal ArticleDOI

Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach

TL;DR: A hybrid fuzzy method consisting fuzzy AHP and 2-tuple fuzzy linguistic approach to evaluateEmergency response capacity is presented and the validity and feasibility of the proposed hybrid fuzzy approach is demonstrated by means of comparing the emergency response capacity of three emergency alternatives.
Journal ArticleDOI

Probabilistic-fuzzy health risk modeling

TL;DR: The proposed probabilistic-fuzzy risk assessment (PFRA) provides a robust approach in evaluating human health risk to exposure when there is both uncertainty and variability in model parameters.
Journal ArticleDOI

Application of a generic bow-tie based risk analysis framework on risk management of sea ports and offshore terminals.

TL;DR: This study is carried out to support the risk assessment phase of the proposed Risk Management (RM) framework used for the purpose of sea ports and offshore terminals operations and management (PTOM) by integration of a generic bow-tie based risk analysis framework into therisk assessment phase as a backbone of the phase.
Journal ArticleDOI

Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach

TL;DR: A quality function deployment (QFD) approach integrated with analytical hierarchy process and technique for order preference by similarity to ideal solution is proposed to enhance the leagility of the supply chain.
References
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Book

Decision-making in a fuzzy environment

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

Marvin Minsky
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.

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.