期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 231, 期 1, 页码 162-170出版社
ELSEVIER
DOI: 10.1016/j.ejor.2013.05.006
关键词
Uncertainty modeling; Granular computing; Uncertainty measure; Granularity; Entropy
资金
- Natural Science Foundation of China [61170105, 71201076]
- Jiangsu Natural Science Foundation of China [BK2009395, BK2011564]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (Audition Science and Technology)
Information granulation and entropy are main approaches for investigating the uncertainty of information systems, which have been widely employed in many practical domains. In this paper, information granulation and uncertainty measures for interval-valued intuitionistic fuzzy binary granular structures are addressed. First, we propose the representation of interval-valued intuitionistic fuzzy information granules and examine some operations of interval-valued intuitionistic fuzzy granular structures. Second, the interval-valued intuitionistic fuzzy information granularity is introduced to depict the distinguishment ability of an interval-valued intuitionistic fuzzy granular structure (IIFGS), which is a natural extension of fuzzy information granularity. Third, we discuss how to scale the uncertainty of an IIFGS using the extended information entropy and the uncertainty among interval-valued intuitionistic fuzzy granular structures using the expanded mutual information derived from the presented intuitionistic fuzzy information entropy. Fourth, we discovery the relationship between the developed interval-valued intuitionistic fuzzy information entropy and the intuitionistic fuzzy information granularity presented in this paper. (C) 2013 Elsevier B.V. All rights reserved.
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