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Second generation fuzzy expert system
Fuzzy Sets and Systems, 1989Abstract We describe our approach to designing a fuzzy expert systems shell which is decision theoretic in nature. We wish to determine the interval operating characteristics in order to maximize the information in relevant working memory. Our solution is a shell which generalizes, and contains, our present shell FLOPS. Major additions are: 1. (1)
J.J. Buckley, D.M. Tucker
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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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A fuzzy expert database system
Data & Knowledge Engineering, 1989Abstract Fuzzy concepts always exist in much of human reasoning as well as decision making. This paper presents a fuzzy expert database system which is an integration of a fuzzy expert system building tool called SYSTEM Z-II and a database management system called Rdb/VMS.
K.S. Leung, M.H. Wong, W. Lam
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LIFE fuzzy expert system shell
[1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis, 2002LIFE fuzzy expert system shell (LIFE FEShell) is designed for building expert systems using fuzzy knowledge. This shell consists of four parts: a fuzzy production system (FPS), an FPS object editor (FPOE), a fuzzy frame system (FFS) and an FFS editor (FFE), FPS and FFS can exchange information with each other and work together for building a more ...
T. Miyoshi +4 more
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How Expert is EXPERT for Fuzzy Logic-Based System!
2017Anesthesia, an utmost important activity in operation theater, solely depends upon anesthesiologist, an expert. In the case of absence of expertise, drug dosing may go under-dose or overdose. To overcome this problem, an expert-based system can be designed to guide newcomers in the field of anesthesia.
Bhole, Kalyani +2 more
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2005
In this chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model design through to final system evaluation will be presented. The current state-of-the-art of fuzzy modelling can be summed up informally as “anything goes”.
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In this chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model design through to final system evaluation will be presented. The current state-of-the-art of fuzzy modelling can be summed up informally as “anything goes”.
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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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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.
K.S. Leung, W. Lam
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Tomato Growing Model Using Fuzzy Expert System
Advanced Science Letters, 2013Environmental factors are important in plant production from many aspects. High productivity, good quality, short production period, and low cost are desired in plant production. In this study, tomato production was investigated and a fuzzy expert system was developed to find the quantity of fertilizer that should be used and the duration of tomato ...
Eldem A., Başçiftçi F., Eldem H.
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Fuzzy Expert System For Voltage-var Scheduling
TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, 2005An offline rule based expert system is developed to assist in controlling voltage-VAr/reactive power in a modified IEEE 14 bus power system. Inference strategy adopted for expert system is based on fuzzy logic. The system non linearity and coupling effect is simulated forming a sensitivity tree.
R. Mahanta, J.K. Chatterjee, K.S.P. Rao
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