Download PDF by Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier,: Information Processing and Management of Uncertainty in

By Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager (eds.)

ISBN-10: 3319087940

ISBN-13: 9783319087948

ISBN-10: 3319087959

ISBN-13: 9783319087955

These 3 volumes (CCIS 442, 443, 444) represent the lawsuits of the fifteenth overseas convention on info Processing and administration of Uncertainty in Knowledge-Based platforms, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The one hundred eighty revised complete papers awarded including 5 invited talks have been conscientiously reviewed and chosen from a variety of submissions. The papers are equipped in topical sections on uncertainty and imprecision on the internet of information; determination aid and uncertainty administration in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; facts research; real-world purposes; aggregation; probabilistic networks; suggestion structures and social networks; fuzzy structures; fuzzy common sense in boolean framework; administration of uncertainty in social networks; from diverse to similar, from imitation to analogy; gentle computing and sensory research; database structures; fuzzy set thought; size and sensory details; aggregation; formal equipment for vagueness and uncertainty in a many-valued realm; graduality; personal tastes; uncertainty administration in computer studying; philosophy and heritage of sentimental computing; gentle computing and sensory research; similarity research; fuzzy good judgment, formal proposal research and tough set; clever databases and data platforms; thought of facts; aggregation services; massive information - the position of fuzzy equipment; vague possibilities: from foundations to functions; multinomial logistic regression on Markov chains for crop rotation modelling; clever size and regulate for nonlinear systems.

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Extra info for Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part I

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We use the Wilcoxon signed-rank test to check if the data counts differ significantly. Other tests are possible as well. The similarity between two dataset is obtained by aggregating these tests using, for instance, a (weighted) arithmetic average. In subjective logic [8], we can treat the tests as “subjective opinions” about the similarity of the two datasets, and merge them using the “fusion” [9] operator to obtain a beta probability distribution describing the probability for each value in [0, 1] to be the correct similarity value.

R. es Abstract. The notion of preference is reviewed from different perspectives, including the Imprecise Probabilities’ approach. Formal connections between different streams of the literature are provided, and new definitions are proposed. Keywords: Imprecise probabilities, stochastic orderings, Walley’s desirability, fuzzy rankings, possibility theory. 1 Introduction The problem of finding appropriate rankings to evaluate and/or sort different alternatives appears in a variety of disciplines such as Economics ([2]), Political Sciences ([5]) or Artificial Intelligence ([16]), among many others.

Jes´ us Medina, Esko Turunen, Eduard Bartl, and Juan Carlos D´ıaz-Moreno Generating Isotone Galois Connections on an Unstructured Codomain . . . . . . . . . . . . . . . . . . . . . . . . . . . . Francisca Garc´ıa-Pardo, Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Aciego, and Francisco J. Rodr´ıguez 81 91 XXXIV Table of Contents – Part III Intelligent Databases and Information Systems Fuzzy Core DBScan Clustering Algorithm . . . . . . .

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Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part I by Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager (eds.)


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