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Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 19th International C Davide Ciucci,Inés Couso,Ronald R. Ya

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书目名称Information Processing and Management of Uncertainty in Knowledge-Based Systems
副标题19th International C
编辑Davide Ciucci,Inés Couso,Ronald R. Yager
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 19th International C Davide Ciucci,Inés Couso,Ronald R. Ya
描述This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. .The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability a
出版日期Conference proceedings 2022
关键词aggregation operator; artificial intelligence; computer networkds; computer science; computer systems; co
版次1
doihttps://doi.org/10.1007/978-3-031-08971-8
isbn_softcover978-3-031-08970-1
isbn_ebook978-3-031-08971-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2022
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Flexible-Dimensional EVR-OWA as Mean Estimator for Symmetric Distributionsof a population, which is equivalent to considering Ordered Weighted Averaging (OWA) operators over simple random samples. If previous data are available or the distribution of the deviation from the mean is known, it is possible to compute optimal OWA weights that minimize the Mean Squared Error of
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Sugeno Integral Based Pandemic Risk Assessmentoronavirus risk assessment based on multi-criteria decision aiding (MCDA) where input variables are indicators expressed on the basis of qualitative-ordinal scales. The proposed approach, based on Sugeno Utility Functionals, makes the problem setting easy to interpret and allows us to reflect the po
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On the Aggregation of ,-distancese a collection of .-distances (respectively, .-generalized .-distances) into a new .-distance (respectively, .-generalized .-distance) are given. The last distances are introduced and discussed, in this work, as a generalization of the first ones. We also provide some relationship between both class
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Fuzzy Rough Set Decision Algorithmsgorithm collects a characteristic set of decision rules and its efficiency is one of its most interesting properties, since it allows us to know the usefulness of the decision algorithm and to compare it with other algorithms. This paper focuses on the generalization of the notions of decision algor
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Relational Extension of Closure Structuresn fuzzy transitive digraphs. The core of the paper is the study of the properties of these structures. As expected, fuzzy closure relations and relational closure systems are related, but the relationship among them is not one-to-one. Last section of the paper shows the search for some characterizat
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Encoding Non-global Time Representations into the Lattice of Divisibilityesentations: vector clocks, a device to provide a virtual time used in distributed systems that has gained traction as a finite lattice representation, and the log-prime function that transforms natural numbers into sequences of prime exponents. Using a generalized log-prime function and its inverse
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