نتایج جستجو برای: 2 fuzzy expert system
تعداد نتایج: 4468304 فیلتر نتایج به سال:
one-third of the people with an age over twenty have some signs of degenerated discs. however, in most of the patients the mere presence of degenerative discs is not a problem leading to pain, neurological compression, or other symptoms. this paper presents an interval type-2 fuzzy hybrid rule-based system to diagnose the abnormal degenerated discs where pain variables are represented by interv...
This study presents a novel intelligent Fuzzy Genetic Differential Evolutionary model for the optimization of a fuzzy expert system applied to heart disease prediction in order to reduce the risk of heart disease. To this end, a fuzzy expert system has been proposed for the prediction of heart disease. The proposed model can be used as a tool to assist physicians. In order to: (1) tune the para...
fuzzy logic has a high potential for managing the uncertainty sources associated with the medical expert systems. application of fuzzy inference model has been widely concentrated for managing uncertainties in computer based practices of medicine. this paper has proposed two fuzzy expert systems for prognosis of the heart disease based on: 1) mamdani inference model, and 2) sugeno inference mod...
nowadays, project selection is a vital decision in many organizations. because competition among research projects in order to gain more budgets and to attain new scientific domain has increased. due to multiple objectives and budgeting restrictions for academic research projects have led to the use of expert system for decision making by academic and research centers. the existing methods suff...
Finding a product with high quality and reasonable price online is a difficult task due to the fuzzy nature of data and queries. In order to handle the fuzzy problem, a new type-2 fuzzy reasoning based decision support system, the Web Shopping Expert for online users is proposed. In the Web Shopping Expert, an interval type-2 fuzzy logic system is used and a fuzzy output can be obtained using t...
expert systems are computer programs that make the knowledge of experts available when a human expert is not with in easy reach. the systems are to simulate the thinking and inference pattern of human being. the ultimate goal of expert system is to be analogous to human as much as possible. utilizing the intelligent system in commerce is indispensable for establishing a better connection with c...
expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...
higher education plays a very vital role in developing human resources as well as economic ones in every country. in so doing, the act of evaluation would help the decision makers as well as managers to spot the weaknesses to use the required provisions to work more effectively. the present study with a different approach toward the designing a comprehensive evaluation expert system using fuzzy...
در تعیین مناسبت کاربری اراضی شهری (urban land use suitability)کنونی به لحاظ دخیل بودن معیارهای مختلف، پیچیدگی (complexity) محیط پیرامون و عدم قطعیت uncertainty)) در اطلاعات به نظر می رسد استفاده از یک سیستم خبره مکانی فازی (spatial fuzzy expert system ) دارای انعطاف بیشتری نسبت به روشهای عددی مرسوم می باشد و هوش و نبوغ انسانی را در تصمیم گیریها بهتر منعکس کرده و نتایج مفیدی را در پی خواهد داشت....
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 ...
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