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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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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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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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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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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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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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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 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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A Fuzzy Expert System for Network Forensics
2004The field of digital forensic science emerged as a response to the growth of a computer crime. Digital forensics is the art of discovering and retrieving information about a crime in such a way to make digital evidence admissible in court. Especially, network forensics is digital forensic science in networked environments. The more network traffic, the
Jung-Sun Kim +2 more
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