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Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundati; 17th International C Jesús Medina,Man

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書(shū)目名稱(chēng)Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundati
副標(biāo)題17th International C
編輯Jesús Medina,Manuel Ojeda-Aciego,Ronald R. Yager
視頻videohttp://file.papertrans.cn/466/465140/465140.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundati; 17th International C Jesús Medina,Man
描述.This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018..The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monoton
出版日期Conference proceedings 2018
關(guān)鍵詞algorithms; artificial intelligence; data mining; evolutionary algorithms; Formal Concept Analysis (FCA)
版次1
doihttps://doi.org/10.1007/978-3-319-91473-2
isbn_softcover978-3-319-91472-5
isbn_ebook978-3-319-91473-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Conference proceedings 2018ertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018..The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy met
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A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field actual connections of fuzzy logic contributions with AI to promote and improve XAI systems in the broad sense. Finally, we outlined new research directions aimed at strengthening the integration of different fields of AI, including fuzzy logic, toward the common objective of making AI accessible to people.
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Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Dataibes the elements from linguistic descriptions of data that can influence and improve the interpretability of automatically generated texts (such as fuzzy properties, quantifiers, and truth degrees), when linguistic descriptions are used to determine relevant content within a text generation system.
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Nullnorms and T-Operators on Bounded Lattices: Coincidence and Differencesons on bounded lattices. We will show that, on bounded lattices, nullnorms and t-operators need not coincide. We will explore conditions under which one of these operations is necessarily the other one, and conditions under which they differ.
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Steinhaus Transforms of Fuzzy String Distances in Computational Linguisticsz’ T-norms and T-conorms. We resort to the Steinhaus transform, a powerful tool which allows one to deal with linguistic data which are not only fuzzy, but possibly also irrelevant or logically inconsistent. Experimental results on actual data are shown and preliminarily commented upon.
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