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Fuzzy concepts in expert systems
Computer, 1988The authors present a comprehensive expert-system building tool, called System Z-II, that can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system.
Kwong-Sak Leung, W. Lam
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A fuzzy logic system for expert systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1988Using the theory of fuzzy sets, this paper develops a fuzzy logic reasoning system as an augmentation to a rule-based expert system to deal with fuzzy information. First, fuzzy set theorems and fuzzy logic principles are briefly reviewed and organized to form a basis for the proposed fuzzy logic system.
Te-Chuan Chang +2 more
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Fuzzy Sets and Systems, 1986
We describe a fuzzy rule based expert production system. The system accepts as input a fuzzy vector all of whose components are fuzzy sets, and produces as output a fuzzy set of conclusions. Non-fuzzy data are stored as fuzzy data with grade of membership one; internally, all data are considered fuzzy.
J.J. Buckley, W. Siler, Douglas Tucker
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We describe a fuzzy rule based expert production system. The system accepts as input a fuzzy vector all of whose components are fuzzy sets, and produces as output a fuzzy set of conclusions. Non-fuzzy data are stored as fuzzy data with grade of membership one; internally, all data are considered fuzzy.
J.J. Buckley, W. Siler, Douglas Tucker
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Information Sciences, 1985
The paper is addressed to studies of several ways of using fuzzy sets, especially fuzzy logic in expert systems to cope with different forms of uncertainty. This uncertainty is attached to probability values (linguistic probabilities) and attribute values.
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The paper is addressed to studies of several ways of using fuzzy sets, especially fuzzy logic in expert systems to cope with different forms of uncertainty. This uncertainty is attached to probability values (linguistic probabilities) and attribute values.
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Fuzziness and expert system generation
1987The Matrix Controlled Inference Engine (MACIE) style expert system uses a knowledge base automatically generated from a set of crisp training examples. However, when viewed from a fuzziness perspective, it is seen that the Pocket Algorithm which generates the knowledge base operates nondeterministically.
Mark Frydenberg, Stephen I. Gallant
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A fuzzy expert system for business management
Expert Systems with Applications, 2010Nowadays firms are required to reach high levels of specialisation in order to increase their competitiveness in complex markets. Knowledge management plays a fundamental role in this process as the correct implementation of strategies is determined by the information transfer and dissemination within the organisation.
Daniel Arias-Aranda +4 more
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Fuzzy systems and fuzzy expert control: An overview
The Knowledge Engineering Review, 1994Abstract This paper presents an overview of fuzzy set theory and its application to the analysis and design of fuzzy expert control systems. Starting with a short account of the basic concepts and properties of fuzzy sets and fuzzy reasoning, a few fuzzy rule-based controllers, viz, basic single-input singleoutput fuzzy control, self ...
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Constructing fuzzy measures in expert systems
Fuzzy Sets and Systems, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
George J. Klir +2 more
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2011
One of the imprecision types of information encountered in an expert system is due to the (natural) language used to express information. If knowledge is not expressed in some formal language, the meaning cannot be interpreted exactly. Since there is no such universal scheme for formal representation language, a particular knowledge representation ...
Crina Grosan, Ajith Abraham
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One of the imprecision types of information encountered in an expert system is due to the (natural) language used to express information. If knowledge is not expressed in some formal language, the meaning cannot be interpreted exactly. Since there is no such universal scheme for formal representation language, a particular knowledge representation ...
Crina Grosan, Ajith Abraham
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Fuzzy expert system technology
1996Fuzzy expert systems are the second generation expert systems. In real world activities, system states have various attributes that at best could be assessed as a matter of degree. If we express our knowledge of system states in terms of an all or nothing paradigm then much valuable information does not appear in system's models. However, if we express
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