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Titlebook: Probabilistic Analysis of Belief Functions; Ivan Kramosil Book 2001 Springer Science+Business Media New York 2001 Mathematica.Random varia

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發(fā)表于 2025-3-21 16:10:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Probabilistic Analysis of Belief Functions
編輯Ivan Kramosil
視頻videohttp://file.papertrans.cn/757/756783/756783.mp4
叢書名稱IFSR International Series in Systems Science and Systems Engineering
圖書封面Titlebook: Probabilistic Analysis of Belief Functions;  Ivan Kramosil Book 2001 Springer Science+Business Media New York 2001 Mathematica.Random varia
描述Inspired by the eternal beauty and truth of the laws governing the run of stars on heavens over his head, and spurred by the idea to catch, perhaps for the smallest fraction of the shortest instant, the Eternity itself, man created such masterpieces of human intellect like the Platon‘s world of ideas manifesting eternal truths, like the Euclidean geometry, or like the Newtonian celestial me- chanics. However, turning his look to the sub-lunar world of our everyday efforts, troubles, sorrows and, from time to time but very, very seldom, also our successes, he saw nothing else than a world full of uncertainty and tem- porariness. One remedy or rather consolation was that of the deep and sage resignation offered by Socrates: I know, that I know nothing. But, happy or unhappy enough, the temptation to see and to touch at least a very small por- tion of eternal truth also under these circumstances and behind phenomena charged by uncertainty was too strong. Probability theory in its most sim- ple elementary setting entered the scene. It happened in the same, 17th and 18th centuries, when celestial mechanics with its classical Platonist paradigma achieved its greatest triumphs. The origin
出版日期Book 2001
關(guān)鍵詞Mathematica; Random variable; measure theory; probability; probability theory; uncertainty
版次1
doihttps://doi.org/10.1007/978-1-4615-0587-7
isbn_softcover978-1-4613-5145-0
isbn_ebook978-1-4615-0587-7Series ISSN 1574-0463 Series E-ISSN 2698-5497
issn_series 1574-0463
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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,Boolean—Valued and Boolean—Like Processed Belief Functions,in Drossos (1990) and Novák (1989), as far as fuzzy sets are concerned, in Bundy (1985) for set-valued probability measures, and in Kramosil (1989,1991) for applications of such probabilities in uncertain data processing expert (knowledge) systems; we shall not repeat this discussion here and refer to these sources.
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Ivan Kramosilital strategy. Highly practical but infused with rigorous research, it shows you how your business can use digital technologies to compete in today’s hybrid markets..978-3-031-23439-2978-3-031-23440-8Series ISSN 2731-5614 Series E-ISSN 2731-5622
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Belief Functions with Signed and Nonstandard Values,e corresponding belief function .... The subject combines her/his beliefs with the beliefs of her/his colleague quantified by a b.p.a. .. and by ..., so that she/he obtains the actualized beliefs quantified by .. ⊕ .. and by ... ⊕ ..., and completely forgets the original beliefs .. and .., erasing them totally from her/his memory.
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