Object-oriented concept acquisition based on attribute topology-Reference-Cited by-同舟云学术

Object-oriented concept acquisition based on attribute topology

Published:2024-01-24 Issue: Volume: Page:1-11
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Pang Kuo¹,Lu Yifan²,Xu Lixian³,Yan Wei⁴,Zou Li⁵,Lu Mingyu¹

Affiliation:

1. Information Science and Technology College, Dalian Maritime University, Dalian, China

2. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

3. School of Computing and Mathematics, Ulster University, Northern Ireland, UK

4. Neusoft Institute of Modern Industry, Dalian Neusoft University of Information, Dalian, China

5. School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China

Abstract

The research of object-oriented concept is one of the basic contents of formal concept analysis. To overcome the complexity of computing object-oriented concept, this paper proposes an Object-oriented Concept Acquisition model (OCA) based on attribute topology. The object-oriented attribute topology is first proposed to visualize the coupling relationship between attributes. Second, inspired by rough set theory, object-oriented attribute topology is transformed into rough object-oriented attribute topology. Furthermore, based on the weights of the edges in the rough object-oriented attribute topology, object-oriented concepts are obtained by finding reachable paths. Finally, examples and experiments are used to demonstrate the effectiveness of our proposed method.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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