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An interval-valued rough intuitionistic fuzzy set model
International Journal of General Systems, 2010Rough set theory is a powerful tool for dealing with uncertainty, granuality and incompleteness of knowledge in information systems. This paper presents an interval-valued rough intuitionistic fuzzy (IF) set model by means of integrating the classical Pawlak rough set theory with the interval-valued IF set theory. In this paper, we first introduce some
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Two operators on interval-valued intuitionistic fuzzy sets. I
1994The Interval-Valued Intuitionistic Fuzzy Sets (IVIFSs) [the reviewer and \textit{G. Gargov}, Fuzzy Sets Syst. 31, No. 3, 343--349 (1989; Zbl 0674.03017)] are extensions of the Intuitionistic Fuzzy Sets (IFSs) [the reviewer, ibid. 20, 87--96 (1986; Zbl 0631.03040)] and Interval-Valued Fuzzy Sets (IVFSs). Let \(X \neq \emptyset\) be a given universe.
Burillo, P., Bustince, H.
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On Generalised Interval-Valued Intuitionistic Fuzzy Soft Sets
2015Molodtsov initiated the concept of fuzzy soft set theory in 1999. Maji et al. introduced the notion of fuzzy soft sets. By introducing the concept of intuitionistic fuzzy sets into the theory of soft sets, Maji et al. proposed the concept of intuitionistic fuzzy soft set theory.
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A method based on distance measure for interval-valued intuitionistic fuzzy group decision making
Information Sciences, 2010Zeshui Xu
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