# مقاله انگلیسی رایگان در مورد منطق فازی احتمالی و سیستم های فازی احتمالی – IEEE 2001

 مشخصات مقاله انتشار مقاله سال ۲۰۰۱ تعداد صفحات مقاله انگلیسی ۴ صفحه هزینه دانلود مقاله انگلیسی رایگان میباشد. منتشر شده در نشریه IEEE نوع مقاله ISI عنوان انگلیسی مقاله Probabilistic Fuzzy Logic and Probabilistic Fuzzy Systems ترجمه عنوان مقاله منطق فازی احتمالی و سیستم های فازی احتمالی فرمت مقاله انگلیسی PDF رشته های مرتبط مهندسی کامپیوتر گرایش های مرتبط هوش مصنوعی مجله دهمین کنفرانس بین المللی سیستم های فازی – The 10th IEEE International Conference on Fuzzy Systems دانشگاه Department of Electrical Engineering – Ferdowsi University of Mashhad – Iran کد محصول E6179 وضعیت ترجمه مقاله ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. دانلود رایگان مقاله دانلود رایگان مقاله انگلیسی سفارش ترجمه این مقاله سفارش ترجمه این مقاله

 بخشی از متن مقاله: Introduction One of the main advantages of fuzzy logic systems has been their ability for handling and representing one class of uncertainties, the non-statistical uncertainty. Moreover, fuzzy logic is a framework for representing and manipulating linguistic variables and sentences in natural language. This feature enables us to incorporate human expert knowledge in the form of fuzzy if-then rules and fuzzy membership functions. Furthermore, the universal approximation property of fuzzy systems guarantees their ability for modeling deterministic complex and uncertain systems. These superior traits however can be degraded by the existence of randomness and probabilistic elements. Randomness is another type of uncertainty named statistical uncertainty. In this paper, the shortcomings of conventional fuzzy logic systems in some particular situations will be first discussed leading to the motivations for integrating fuzziness and probability. Consequently, a new concept of probabilistic fizy logic is developed and used to enhance the universal applicability of fuzzy systems by bridging the gap between fuzziness and probability. The approach is mainly different from the wellestablished concept of fuzzy probabilities. Fuzzy probability is a fuzzy approach to probability theory whereas the proposed probabilistic fuzzy logic is a combined framework in which both probability as well as fuzzy theories co-exist. Probability and Fuzziness Statistical and non-statistical uncertainties are two conceptually different kinds of uncertainty. Non-statistical uncertainty is best represented with the concept of fuzziness where fuzzy logic is used to describe partial truth and approximate reasoning. This type of uncertainty is indeed an ambiguity in assigning the degree of compatibility of an instance with a semantic concept. Statistical uncertainty, on the other hand, may be viewed as a kind of uncertainty concerning the occurrence of an event in the future. Statistical uncertainty is best represented with probability, which gives us the likelihood of an outcome that may or may not happen. Probability gives the likelihood of the outcome in a statistical manner and tells us about populations not instances.