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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; International Sympos Zengchang Qin,Van-Nam Huynh Conference proceedings

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书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making
副标题International Sympos
编辑Zengchang Qin,Van-Nam Huynh
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; International Sympos Zengchang Qin,Van-Nam Huynh Conference proceedings
描述This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
出版日期Conference proceedings 2013
关键词QFD; algorithms; clustering; image classification; knowledge management; algorithm analysis and problem c
版次1
doihttps://doi.org/10.1007/978-3-642-39515-4
isbn_softcover978-3-642-39514-7
isbn_ebook978-3-642-39515-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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A Probabilistic Model for Prioritizing Engineering Design Requirements in Uncertain QFD,design requirements (DRs) of a product. Deriving the priority order of DRs from input variables is a crucial step in applying QFD. Due to the inherent vagueness or impreciseness in QFD, the use of fuzzy linguistic variables for prioritizing DRs has become more and more important in QFD applications.
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New Propagation Algorithm in Dynamic Directed Evidential Networks with Conditional Belief Functionselief functions (DDEVN) was introduced as a new approach for modeling systems evolving in time. Considered as an alternative to dynamic Bayesian network and dynamic possibilistic network, this framework enables to reason under uncertainty expressed in the belief function formalism. In this paper, we
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,Evidential Grammars for Image Interpretation – Application to Multimodal Traffic Scene Understandinted image, every segment of which has been annotated during a first stage of image classification. Moreover, we assume that for every segment, the output class may be uncertain and represented by a belief function over all the possible classes. Production rules are also supposed to be provided by ex
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Mining Statistically Significant Target mRNA Association Rules Based on microRNA,directed regulation among mRNA has not been concerned a lot. In this paper, we introduce association rule mining and hypothesis test to find the closely related mRNAs and their regulation direction based on their relation with miRNAs. Our research can further the understanding about miRNA and mRNA.
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