Journal ArticleDOI
On the derivation of memberships for fuzzy sets in expert systems
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TLDR
A method for constructing a membership function for the fuzzy sets that expert systems deal with and the systematic methodology presented will facilitate effective use of expert systems is put forth.About:
This article is published in Information Sciences.The article was published on 1986-11-01. It has received 16 citations till now. The article focuses on the topics: Membership function & Fuzzy classification.read more
Citations
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A fuzzy set-based accuracy assessment of soft classification
TL;DR: A new method is proposed that uses the fuzzy set theory to extend the applicability of the traditional error matrix method to the evaluation of soft classifiers, designed to cope with those situations in which classification and/or reference data are expressed in multimembership form.
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Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control
TL;DR: It is shown that the local tuning of BMFs can indeed reduce the number of iterations tremendously, and fuzzy-neural control of a model car is presented to illustrate the performance and applicability of the proposed method.
Journal ArticleDOI
Modeling global market entry decision by fuzzy logic with an application to country risk assessment
Joshua B. Levy,Eunsang Yoon +1 more
TL;DR: In this paper, a fuzzy logic framework is introduced to support global market entry decision and a fuzzy evaluation method is presented to handle recursive problematical issues arising from the imprecision conveyed by natural language, such as inaccurate measures, ambiguous facts, subjective analyses, and imperfect decision rules.
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Fuzzy reasoning approach to similarity evaluation in image analysis
TL;DR: A general strategy for similarity evaluation in image analysis considered as a cognitive process using fuzzy logic propositions to represent knowledge structures, and fuzzy reasoning to model inference mechanisms is proposed.
Journal ArticleDOI
A fuzzy logic evaluation system for commercial loan analysis
TL;DR: The fuzzy sets and linguistic variables that contribute to the financial evaluation of a company's credit, capital, and capacity performance are described and a computer-based Fuzzy Logic Evaluation System consisting of the components Specify Fuzzies, Edit Rules, and Evaluator is presented.
References
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Journal ArticleDOI
The concept of a linguistic variable and its application to approximate reasoning—II☆
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Book
Fuzzy Sets and Systems: Theory and Applications
Didier Dubois,Henri Prade +1 more
TL;DR: This book effectively constitutes a detailed annotated bibliography in quasitextbook style of the some thousand contributions deemed by Messrs. Dubois and Prade to belong to the area of fuzzy set theory and its applications or interactions in a wide spectrum of scientific disciplines.
Journal ArticleDOI
The role of fuzzy logic in the management of uncertainty in expert systems
TL;DR: F fuzzy logic is suggested, which is the logic underlying approximate or, equivalently, fuzzy reasoning, which leads to various basic syllogisms which may be used as rules of combination of evidence in expert systems.
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Foundations of fuzzy reasoning
TL;DR: The problem of borderline cases in set theory and the two classical approaches of precisifying them out, or admitting them as a third case, are discussed, leading to Zadeh's suggestion of continuous degrees of set membership.