Titlebook: Uncertainty Modeling; Dedicated to Profess Vladik Kreinovich Book 2017 Springer International Publishing AG 2017 Fuzzy Research.Intelligent

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Copula as a Bridge Between Probability Theory and Fuzzy Logic,It also shows that the t-norm concept used in fuzzy logic is covered by this approach. This leads to a more general statement that axiomatic probability theory covers logic structure of fuzzy logic. This paper shows the benefits of using structures that go beyond the simple concepts of classical log

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Ontological Data Mining,erpretable in terms of ontology, and (3) interpretability of Data Mining methods and their results in ontology. Respectively concepts of Data Ontology and Data Mining Method Ontology are introduced. These concepts lead us to a new Data Mining approach—Ontological Data Mining (ODM). ODM uses the info

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1860-949X inty modeling research.Includes supplementary material: This book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the i

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Information Quality and Uncertainty,ge of different types of uncertainty and provide a highly relevant application domain for theoretical questioning about uncertainty modelling. It also describes several frameworks that have been considered for this task.

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Applying Anomalous Cluster Approach to Spatial Clustering,oach differs in that the algorithm parameter values are not expert-driven but rather derived from the anomalous clustering model. This novel framework successfully applies to the issue of automatically delineating coastal upwelling from Sea Surface Temperature (SST) maps, a natural phenomenon seasonally occurring in coastal waters.

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1860-949X search areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.978-3-319-84554-8978-3-319-51052-1Series ISSN 1860-949X Series E-ISSN 1860-9503