Interval neutrosophic fuzzy concept lattice representation and interval-similarity measure

Article type: Research Article

Authors: Mao, Hua^{; *} | Lin, Geng-Mei

Affiliations: School of Mathematics and Information Science, Hebei University, Baoding, China

Correspondence: [*] Corresponding author. Hua Mao, School of Mathematics and Information Science, Hebei University, Baoding, China. E-mail: [email protected].

Abstract: This paper applies the interval neutrosophic set theory to express fuzzy formal concept. A new interval neutrosophic fuzzy concept lattice is proposed. Furthermore, interval-distance and interval-similarity measure are discussed. We can find some interval neutrosophic fuzzy concepts to meet particular similarity range given by users. The result of this paper may enhance the flexibility of extracting knowledge and expand the capacity of knowledge.

Keywords: Interval neutrosophic set, formal concept analysis, interval-similarity measure

DOI: 10.3233/JIFS-162272

Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 957-967, 2017