This paper proposes ajuzzy neural expert system (FNES) with the following two functions: (1) Generalization of the information derived from the training data and embodiment of knowledge in the form of the fuzzy neural network; (2) Extraction of fuzzy If-Then rules with linguistic relative importance of each proposition in an antecedent (I f -part) from a trained neural network. This paper also ...

| Fuzzy logic and fuzzy set theory provide an important framework for representing and managing impre-cision and uncertainty in medical expert systems, but the need remains to optimise such systems to enhance performance. This paper presents a general technique for optimizing fuzzy models in fuzzy expert systems by simulated annealing and N-dimensional hill climbing simplex method. The applicat...

The decision-making process on investing in financial markets is a very complex and difficult task, mainly due to the chaotic behavior high uncertainty development of prices investment instruments. For this reason, are increasingly using means artificial intelligence, namely fuzzy logic, which able capture nonlinear behavior.Fuzzy logic provides way draw definitive conclusions from vague, ambig...

fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. in this paper, a fuzzy inference system (fis) for diagnosing of acute lymphocytic leukemia in children has been introduced. the fuzzy expert system applies mamdani reasoning model that has high interpretability to explain system results to e...

introduction bacterial meningitis is a known infectious disease which occurs at early ages and should be promptly diagnosed and treated. bacterial and aseptic meningitis are hard to be distinguished. therefore, physicians should be highly informed and experienced in this area. the main aim of this study was to suggest a system for distinguishing between bacterial and aseptic meningitis, using f...

introduction: studies have indicated a global high prevalence of hospital malnutrition on admission and during hospitalization. clinical nutritional risk screen (cnrs) is a way to identify malnutrition and manage nutritional interventions. several traditional and non-computer based tools have been suggested for screening nutritional risk levels. the present study was an attempt to employ a comp...

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This paper presents a type-2 fuzzy rule based expert system to handle uncertainty in complex problems such as portfolio selection. In a type-2 fuzzy expert system both antecedent and consequent have type-2 membership function. This research uses indirect approach fuzzy modeling, where the rules are extracted automatically by implementing a clustering approach. For this purpose, a new cluster an...