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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
Interactive specification and analysis of aspiration-based preferences
Janusz Granat,Marek Makowski +1 more
TL;DR: The paper outlines the methodological background and modular structure of a tool (called NCMA) for multi-criteria analysis of decision problems that can be represented as linear programming (LP) or mixed integer programming (MIP) problems.
Book ChapterDOI
Outline of a computational approach to meaning and knowledge representation based on the concept of a generalized assignment statement
Journal ArticleDOI
Modelling Environmental Responses of Plant Associations: A Review of Some Critical Concepts in Vegetation Study
TL;DR: It is believed that plant associations as well as the higher syntaxa can be regarded as fuzzy sets in an operational context for describing vegetation along ecological gradients in synthetic ways and can further the understanding of vegetation variation.
A new approach on solving intuitionistic fuzzy linear programming problem
K. Prabakaran,K. Ganesan +1 more
TL;DR: A new algorithm is introduced for the solution of an Intuitionistic Fuzzy Linear Programming Problem without converting in to one or more classical Linear Programming Problems.
Journal ArticleDOI
An investigation of fuzzy multiple heuristic orderings in the construction of university examination timetables
TL;DR: An investigation into using fuzzy methodologies to guide the construction of high quality feasible examination timetabling solutions concludes that this novel fuzzy approach is a highly effective method for heuristically constructing solutions and has particular relevance to real-world situations in which theConstruction of feasible solutions is often a difficult task in its own right.
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.