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Titlebook: Quantitative Logic and Soft Computing; Vol 2 Bing-yuan Cao,Guo-jun Wang,Si-zong Guo Conference proceedings 2010 Springer Berlin Heidelberg

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書目名稱Quantitative Logic and Soft Computing
副標(biāo)題Vol 2
編輯Bing-yuan Cao,Guo-jun Wang,Si-zong Guo
視頻videohttp://file.papertrans.cn/781/780875/780875.mp4
概述Recent research on Fuzzy Information and Engineering Results of the The 2nd International Conference on Quantitative Logic and Soft Computing and 2010 Annual Conference on Fuzzy Information & Engineer
叢書名稱Advances in Intelligent and Soft Computing
圖書封面Titlebook: Quantitative Logic and Soft Computing; Vol 2 Bing-yuan Cao,Guo-jun Wang,Si-zong Guo Conference proceedings 2010 Springer Berlin Heidelberg
描述Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, a
出版日期Conference proceedings 2010
關(guān)鍵詞Engineering; Fuzzy; Fuzzy Information; Fuzzy Sets and Systems; Quantification of Software; Quantitative L
版次1
doihttps://doi.org/10.1007/978-3-642-15660-1
isbn_softcover978-3-642-15659-5
isbn_ebook978-3-642-15660-1Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer Berlin Heidelberg 2010
The information of publication is updating

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https://doi.org/10.1007/978-3-642-15660-1Engineering; Fuzzy; Fuzzy Information; Fuzzy Sets and Systems; Quantification of Software; Quantitative L
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Semilinear Space, Galois Connections and Fuzzy Relation Equationsfuzzy relation equations with sup-* and inf-→ compositions. Moreover, because the two types of systems of linear-like equations are dual according to this theory, it is sufficient to investigate only one system.
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The Properties of Normal R_0 Algebrase filters of normal R0 algebras. We get that in a R0 algebra, the following conditions are equivalent : F is an implicative filter of L; F is a positive implicative filter of L; F is a Boolean filter of L. And F is a filter if and only if F is a fantastic filter.
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The Interval-Valued Truth Degree Theory of the Modal Formulasperties. The present paper defines the standard model and the interval-valued truth degree of modal formulas after analyzing the idea of possible world. Then the harmonious theorem is proved, that is, the interval-value truth degree of formulas without modal operators degenerate into a point and the value is just equal to its Borel truth degree.
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