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Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 16th International C Joao Paulo Carvalho,Marie-Jeanne Leso

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發(fā)表于 2025-3-21 16:36:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Information Processing and Management of Uncertainty in Knowledge-Based Systems
副標(biāo)題16th International C
編輯Joao Paulo Carvalho,Marie-Jeanne Lesot,Ronald R. Y
視頻videohttp://file.papertrans.cn/466/465134/465134.mp4
概述Includes supplementary material:
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 16th International C Joao Paulo Carvalho,Marie-Jeanne Leso
描述.This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016...The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspectsof data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation..
出版日期Conference proceedings 2016
關(guān)鍵詞algorithms; artificial intelligence; Bayesian probabilistic computation; Choquet integrals; classificati
版次1
doihttps://doi.org/10.1007/978-3-319-40581-0
isbn_softcover978-3-319-40580-3
isbn_ebook978-3-319-40581-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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An Incremental Algorithm for Repairing Training Sets with Missing Valuesion, IARI, is compared with the accuracy of several popular and state of the art imputation methods, by applying them to five publicly available benchmark datasets. The results demonstrate the superiority of our approach.
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The Syntax of Many-Valued Relationsr in terminology and ontology, and we will illuminate this situation concerning classifications in health. Extensions to multivalent and typed nomenclatures provides an enrichment that is beneficial in practical use of health classifications and nomenclatures.
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A Semantical Approach to Rough Sets and Dominance-Based Rough Setsearch on the former is rather limited. In this paper, we focus on a semantically sound approach of Pawlak’s rough set model and covering-based rough set models. Furthermore, we illustrate that the dominance-based rough set model can be rephrased using this semantic approach.
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Reduct-Irreducible ,-cut Concept Lattices: An Efficient Reduction Procedure to Multi-adjoint Conceptibutes, and then a reduction based on a truth degree is applied, which removes the fuzzy attributes with low weight. Different interesting properties and examples of this mechanism are also introduced.
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