Results 191 to 200 of about 18,159,660 (238)
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FUZZY INFORMATION PROCESSING FOR EXPERT SYSTEMS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1995This paper investigates the problems incurred when fuzzy values and certainty factors are used in rule-based knowledge representation. It proposes several measures for evaluating the satisfaction degree of fuzzy matching, fuzzy comparison and interval inclusion occurring in the course of inference for such knowledge representation.
Keon-Myung Lee, Hyung Lee-Kwang
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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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TrAC Trends in Analytical Chemistry, 1990
Abstract Application of the theory of fuzzy sets for building expert systems in analytical chemistry is explored. Fuzzy data, linguistic variables and quantifiers, approximate and default reasoning as well as fuzzy neural networks are considered. A reasoning scheme according to Yager [Artificial Intelligence, 31 (1987) 99] is used to demonstrate ...
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Abstract Application of the theory of fuzzy sets for building expert systems in analytical chemistry is explored. Fuzzy data, linguistic variables and quantifiers, approximate and default reasoning as well as fuzzy neural networks are considered. A reasoning scheme according to Yager [Artificial Intelligence, 31 (1987) 99] is used to demonstrate ...
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On the validation and testing of fuzzy expert systems
IEEE Transactions on Systems, Man, and Cybernetics, 1988A reusable expert system called Fess was designed to be easy to validate and has been used in several different domains. The validation and testing of the system from the building stage onward is discussed. >
Lawrence O. Hall +2 more
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Belief updating in a fuzzy expert system
International Journal of Intelligent Systems, 1990We argue that with the addition of a rule-ranking procedure, our fuzzy expert system FLOPS can correct previous conclusions given new, possibly conflicting, information.
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Managing uncertainty in a fuzzy expert system
International Journal of Man-Machine Studies, 1988The paper deals with the uncertainty and ambiguity modelling in expert systems. It is shown that the uncertainty can be specified as confidence values of fuzzy sets representing the ambiguities included into an expert system. The general methods of the uncertainty processing are more specified in the second part of the paper where the memory ...
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A fuzzy expert system for site characterization
Expert Systems with Applications, 2003Abstract Remediation selection expert system (RSES) is a rule-based expert system which is used for the selection of remediation techniques for petroleum contaminated sites. In this paper, we describe a fuzzy logic-based subsystem: site characterization subsystem (SCSS).
Zhiying Hu 0001 +2 more
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Exploiting Fuzzy Expert Systems in Cardiology
2013This paper presents a Sugeno-type Fuzzy Expert System (FES) designed to help mostly Cardiologists and General Practitioners in taking decisions on the most common cardiological clinical dilemmas. FES is separated in five sub-systems; Coronary Disease, Hypertension, Atrial Fibrillation, Heart Failure and Diabetes, covering a wide range of Cardiology ...
Efrosini Sourla +5 more
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A formal specification for a fuzzy expert system
Information and Software Technology, 2003Abstract A fuzzy logic toolkit has been developed for the formal specification language Z. It permits the incorporation of fuzzy concepts into the language while retaining the precision of any Z specification. The toolkit provides the necessary operators, measures and modifiers for the definition and manipulation of fuzzy sets and relations.
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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”.
openaire +1 more source