International Journal of Computational Intelligence Systems

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Volume 14, Issue 1, 2021, Pages 701 - 714

Granule Description of Object (Attribute)-Oriented Linguistic Concept Lattice Based on Dominance Relation

Authors
Hui Cui1, Ansheng Deng1, *, Chunmei Chang2, Hongyue Diao1, Li Zou3, *
1Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, 116026, P.R. China
2School of Computer and Information Technology, Liaoning Normal University, Dalian, Liaoning, 116019, P.R. China
3School of Computer Science and Technology, Shandong Jianzhu University, Jinan, Shandong, 250101, P.R. China
*Corresponding authors. Email: ashdeng@dlmu.edu.cn; zoulicn@163.com
Corresponding Authors
Ansheng Deng, Li Zou
Received 15 July 2020, Accepted 6 December 2020, Available Online 6 January 2021.
DOI
10.2991/ijcis.d.201230.001How to use a DOI?
Keywords
Concept lattice; Object (attribute)-oriented linguistic concept lattice; Dominance relation; Granular computing; Linguistic term set
Abstract

Concept lattice, as an effective tool for knowledge acquisition and data analysis, has been successfully used in many fields. Aiming at the problem of groups for uncertain information in the linguistic environment, this paper mainly focuses on the granule description with linguistic concept lattice from the two aspects of object-oriented and attribute-oriented. Specifically, we present an object-oriented linguistic concept lattice to describe the linguistic dominance relation between attributes, the corresponding attribute dominant class is obtained meanwhile. Furthermore, we devote to constructing an object-oriented linguistic granular concept lattice by using the equivalence relations on the set of objects, combining the idea of granular computing. In order to deal with the linguistic information under the different importance of objects, the notion of attribute-oriented linguistic concept lattice based on object dominance relation is put forward. What’s more, we classify the attribute set so as to generate the attribute-oriented linguistic granular concepts with respect to a set of attributes. Besides, the effectiveness of the object-oriented linguistic concept lattice, object-oriented linguistic granular concept lattice, attribute-oriented linguistic concept lattice, attribute-oriented linguistic granular concept lattice is illustrated by the comparative analysis with other methods.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
701 - 714
Publication Date
2021/01/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.201230.001How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Hui Cui
AU  - Ansheng Deng
AU  - Chunmei Chang
AU  - Hongyue Diao
AU  - Li Zou
PY  - 2021
DA  - 2021/01/06
TI  - Granule Description of Object (Attribute)-Oriented Linguistic Concept Lattice Based on Dominance Relation
JO  - International Journal of Computational Intelligence Systems
SP  - 701
EP  - 714
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201230.001
DO  - 10.2991/ijcis.d.201230.001
ID  - Cui2021
ER  -