Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature

Table 3

Distribution papers based on the decision-making area.

Author and reference	Application field	Type of study	Study category	Study contribution
Liang et al. [59]	Multiple attribute group decision-making (MAGDM)	Developed	Fuzzy-rough and triangular fuzzy sets	Designed a new algorithm for determination of the values of losses used in triangular fuzzy decision-theoretic rough sets (TFDTRS)
Hu et al. [60]	Decision-making	Proposed	Fuzzy preference and rough sets	Proposed a novel approach for extracting fuzzy preference relations by using a fuzzy-rough set model
Liang and Liu [61]	Information systems	Proposed	Fuzzy-rough sets	Presented a naive approach of IFDTRSs and analysis of its related properties
Sun et al. [62]	Decision-making	Proposed	Fuzzy-rough sets and emergency material demand prediction	Used fuzzy-rough sets for solving problems in emergency material demand prediction
Zhang et al. [63]	Decision-making	Proposed	Fuzzy-rough sets	Presented a common decision making model based on hesitant fuzzy and rough sets, named HF rough sets
Zhan and Zhu [64]	Decision-making	Proposed	Fuzzy-rough sets	Extended the new -soft rough fuzzy of hemirings based on the notion of soft rough sets and rough fuzzy sets
Sun and Ma [65]	Decision-making	Proposed	Fuzzy-rough sets	Introduced a novel concept of soft fuzzy-rough sets by integrating traditional fuzzy-rough sets and fuzzy soft sets
Yang et al. [66]	MCDM	Proposed	Fuzzy-rough sets	Introduced the concept of the union, the inverse of bipolar approximation spaces, and the intersection
Sun et al. [67]	Decision-making	Developed	Fuzzy-rough sets	Examined the fuzzy-rough approximation concept on probabilistic approximation space over two universes