نتایج جستجو برای: type 2 fuzzy expert system
تعداد نتایج: 5239710 فیلتر نتایج به سال:
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating...
Fuzzy logic and fuzzy set theory provide an important framework for representing and managing imprecision and uncertainty in medical expert systems, but the need remains to optimize such systems to enhance performance. This paper presents a general technique for optimizing fuzzy models in fuzzy expert systems (FES’s) by simulated annealing (SA) and N -dimensional hill climbing simplex method. T...
Before beginning the research that led to "Probabilistic logic" [11 ], I had participated with Richard Duda, Peter Hart, and Georgia Sutherland on the PROSPECTOR project [3]. There, we used Bayes' rule (with some assumptions about conditional independence) to deduce the probabilities of hypotheses about ore deposits given (sometimes uncertain) geologic evidence collected in the field [4]. At th...
This article presents the development of the knowledge base and inference motor for an Automated Management System for developing Expert Systems and Fuzzy Classifier (SAGSECD). SAGSECD is a tool that can be used for any user with basics knowledge in the expert systems or fuzzy classifiers area for designing and implementing this kind of systems to solve several problems or situations that requi...
The electronic stability control (ESC) system is one of the most important active safety systems in vehicles. Here, we intend to improve the Electronic stability of four in-wheel motor drive electric vehicles. We will design an electronic stability control system based on Type-2 fuzzy logic controller. Since, Type-2 fuzzy controller has uncertainty in input interval furthermore of output fuzzin...
Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares Mamdani fuzzy logic and Naïve Bayes in detecting Methods: The first to process data on symptoms support tissues based complaints toothache consulted with experts at a community health centre (puskesmas). second apply proposed expert system. third provide recommended decision...
studying the performance of contrarian strategies in tehran stock exchange with using fuzzy approach
during recent years, examining the performance of contrarian strategies has been taken into consideration by scholars and stock market's activists, though several evidences are available based on profitability of this type of strategies, much of them have been referred to american and european's stock markets. in current study, the act of these strategies will be examined in tehran&ap...
The modelling, numerical simulation and intelligent control of an expert HVAC (heating, ventilating and air-conditioning) system having two different zones with variable flow-rate were performed by considering the ambient temperature in this study. The sub-models of the system were obtained by deriving heat transfer equations of heat loss of two zones by conduction and convection, cooling unit ...
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