Titlebook: Rough Sets; International Joint Lech Polkowski,Yiyu Yao,Beata Zielosko Conference proceedings 2017 Springer International Publishing AG 20

厭惡

Data-Driven Granular Cognitive Computinging mechanism of machine learning systems which is “from finer to coarser”. According to DGCC, deep learning is taken as a combination of symbolism and connectionism, and named hierarchical structuralism in this paper.

紳士

Anterior

GNAW

0302-9743 sses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organ978-3-319-60836-5978-3-319-60837-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

PAC

Slit-Lamp

Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis has become necessary. In this regard, different image processing techniques provide efficient tools to extract and interpret meaningful information from the medical images, which, in turn, provide valuable directions for medical diagnosis. One of the major problems in real-life medical image data a

instructive

User Friendly NPS-Based Recommender System for Driving Business Revenue system for improving NPS of clients is driven mainly by action rules and meta-actions. The paper presents main techniques used to build the data-driven system, including data mining and machine learning techniques, such as hierarchical clustering, action rules and meta actions, as well as visualiza

執(zhí)拗

Heterogeneous Approximate Reasoning with Graded Truth Values logics parameterized by a?variable number of truth/falsity grades together with a corresponding family of rule languages with tractable query evaluation. Such grades are shown here to be a natural qualitative counterpart of quantitative measures used in various forms of approximate reasoning. The d

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有權(quán)

New Algebras and Logic from a Category of Rough Setsc structure called ‘contrapositionally complemented pseudo Boolean algebra’ is obtained and its basic properties studied. The corresponding logic ‘intuitionistic logic with minimal negation’ is introduced, and its connection with the intuitionistic and minimal logics is discussed.