کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10323891 661380 2005 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model
چکیده انگلیسی
A belief function can be viewed as a generalized probability function and the belief and plausibility measures can be regarded as lower and upper bounds for the probability of an event. However, the classical probabilistic interpretation used for computing belief and plausibility measures may be unreasonable in many real applications when the number of observations or measurements is rather small. In order to overcome this difficulty, Walley's imprecise Dirichlet model is used to extend the belief, plausibility and possibility measures. An interesting relationship between belief measures and sets of multinomial models is established. Combination rules taking into account reliability of sources of data are studied. Various numerical examples illustrate the proposed extension.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 154, Issue 3, 16 September 2005, Pages 413-431
نویسندگان
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