منابع مشابه
Fuzzy Models of Linear Logic
There has long been a perception among fuzzy set theorists that the negation based on the operation a 7→ 1 − a is the “correct” negation. It is easy to see why this is so. In the model of fuzzy sets based on the unit interval [0, 1], the classical complement of a subset is a destructive operation. For example, if A0 is a fuzzy subset of a crisp set A , then in the classical complement of A0 eve...
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fuzzy logic has been developed over the past three decades into a widely applied techinque in classification and control engineering. today fuzzy logic control is one of the most important applications of fuzzy set theory and specially fuzzy logic. there are two general approachs for using of fuzzy control, software and hardware. integrated circuits as a solution for hardware realization are us...
15 صفحه اولan application of fuzzy logic for car insurance underwriting
در ایران بیمه خودرو سهم بزرگی در صنعت بیمه دارد. تعیین حق بیمه مناسب و عادلانه نیازمند طبقه بندی خریداران بیمه نامه براساس خطرات احتمالی آنها است. عوامل ریسکی فراوانی می تواند بر این قیمت گذاری تاثیر بگذارد. طبقه بندی و تعیین میزان تاثیر گذاری هر عامل ریسکی بر قیمت گذاری بیمه خودرو پیچیدگی خاصی دارد. در این پایان نامه سعی در ارائه راهی جدید برای طبقه بندی عوامل ریسکی با استفاده از اصول و روش ها...
a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
15 صفحه اولFuzzy Linear Regression Models with Fuzzy Entropy
Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et al. The goal of this regression is to find the coefficient of a proposed model for all given input-output data sets. In this paper, we propose a new 1716 E. Pasha et al method for computation of fuzzy regression. The method is constructed on the basis of minimi...
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ژورنال
عنوان ژورنال: Mathematical Structures in Computer Science
سال: 1996
ISSN: 0960-1295,1469-8072
DOI: 10.1017/s096012950000102x