Integrating expert systems using fuzzy numbers
نویسندگان
چکیده
منابع مشابه
Fuzzy Expert Systems
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'. What this actually means is that the developer of the fuzzy model is faced with many steps in the process each with many options from which s...
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In this paper we consider the use of fuzzy estimators –a new and promising approach of estimating the parameters of a probability distribution from statistical samples– to represent mathematical knowledge in expert systems. A class of fuzzy estimators suitable for fuzzy arithmetics generalizes the existing approaches and it is used to derive the fuzzy estimators for the parameters of the normal...
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There is always a trade off between the number of cases to be stored in the case library of a Case-Based Expert System and the performance of retrieval efficiency. The larger the case library, the more the problem space covered, however, it would also downgrade the system performance if the number of cases grows to an unacceptable high level. In this paper, an approach of maintaining the size o...
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The term Executive Information System (EIS) was coined at MIT in the late 1970s. Hailed as a new technology (see Rockart and Treaty 1982). the concept has spread with growing momentum into hundreds of large corporations. A study conducted at MIT’s Center for Information Systems Research showed that about one third of the large U.S. corporations now have some kind of EIS installed or underway. T...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 1988
ISSN: 0888-613X
DOI: 10.1016/0888-613x(88)90068-0