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Titlebook: Rough Set and Knowledge Technology; 5th International Co Jian Yu,Salvatore Greco,Andrzej Skowron Conference proceedings 2010 Springer-Verla

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書目名稱Rough Set and Knowledge Technology
副標(biāo)題5th International Co
編輯Jian Yu,Salvatore Greco,Andrzej Skowron
視頻videohttp://file.papertrans.cn/832/831886/831886.mp4
概述Fast track conference proceedings.Unique visibility.State-of-the-art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Rough Set and Knowledge Technology; 5th International Co Jian Yu,Salvatore Greco,Andrzej Skowron Conference proceedings 2010 Springer-Verla
描述TheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006. RSKT serves as a major forum that brings researchers and industry practitioners together to discuss and deliberate on fundamental issues of knowledge processing and management and knowled- intensive practical solutions in the current knowledge age. Experts from around the world meet to present state-of-the-art scienti?c results, to nurture academic and industrial interaction, and to promote collaborative research in rough sets and knowledge technology. The ?rst RSKT was held in Chongqing, China, f- lowed by RSKT 2007 in Toronto, Canada, RSKT 2008 in Chengdu, China and RSKT 2009 in Gold Coast, Australia. RSKT 2010, the 5th in the series, was held in Beijing, China, October 15–17, 2010. This volume contains 98 papers selected for presentation at RSKT 2010. Following the success of the previous conferences, RSKT 2010 continued the tradition of a very rigorous reviewing process. Every submission was reviewed byatleasttworeviewers.Moreover,RSKT2010invitedseveralareachairsto- pervise the review process of every submission. Most submissions were reviewed by three experts. The Program Comm
出版日期Conference proceedings 2010
關(guān)鍵詞Extension; artificial immune system; classification; cognition; computational intelligence; conceptual re
版次1
doihttps://doi.org/10.1007/978-3-642-16248-0
isbn_softcover978-3-642-16247-3
isbn_ebook978-3-642-16248-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書目名稱Rough Set and Knowledge Technology影響因子(影響力)




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書目名稱Rough Set and Knowledge Technology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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Comparative Study on Mathematical Foundations of Type-2 Fuzzy Set, Rough Set and Cloud Modelstudies fuzziness of the membership grade of a concept. Rough set proposed by Pawlak defines an uncertain concept through two crisp sets. Cloud model, based on probability measure space, automatically produces random membership grades of a concept through a cloud generator. The three methods all con
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Knowledge Discovery about Preferences Using the Dominance-Based Rough Set Approach acts, actions, ... ) evaluated from multiple points of view considered relevant for the problem at hand and called attributes (also called features, variables, criteria, ... ). On the other hand, a rational decision maker acts with respect to his/her value system so as to make the best decision. Co
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Rough Temporal Vague Sets in Pawlak Approximation Spacel vague set are constructed, which is partitioned by an indiscernibility relation in Pawlak approximation space, and the concept of rough temporal vague sets is proposed as a generalization of rough vague sets. Further properties associated with the lower and upper approximations of temporal vague s
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