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Soft Computing
Erschienen in: Soft Computing 2/2021

22.07.2020 | Methodologies and Application

A multigranulation fuzzy rough approach to multisource information systems

verfasst von: Likui An, Sinan Ji, Changzhong Wang, Xiaodong Fan

Erschienen in: Soft Computing | Ausgabe 2/2021

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Abstract

Multigranulation rough set is one class of the important models in rough set community. However, both pessimistic and optimistic rough sets have disadvantages in describing target concept. In this paper, a novel model, called weighted multigranulation fuzzy decision rough sets, is proposed. Gaussian kernel is used to compute the similarity between objects, which induces a fuzzy equivalence relation. We employ the relation to fuzzily partition the universe and then obtain multiple fuzzy granulations from multisource fuzzy information system. Moreover, some interesting properties of the proposed model are discussed. A comparative study between the proposed multigranulation model and Sun’s multigranulation rough set model is carried out. An example is employed to illustrate the effectiveness of the proposed method, which may provide an effective approach for multisource data analysis in real applications.
Vorheriger Artikel Experimental investigation and comparative machine-learning prediction of compressive strength of recycled aggregate concrete
Nächster Artikel RETRACTED ARTICLE: Intelligent analysis framework for healthy environment spatial model of BIM horticultural therapy based on complex network information model

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Metadaten
Titel
A multigranulation fuzzy rough approach to multisource information systems
verfasst von
Likui An
Sinan Ji
Changzhong Wang
Xiaodong Fan
Publikationsdatum
22.07.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 2/2021
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05187-x

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