… reduction methods in fuzzy rough set theory, this paper first briefly reviews the related concepts
of fuzzy rough set theory. Then, all … The entire fuzzy sets on U is recorded as F ( U ) . The …

… comparative analysis. Finally, the stability of the proposed method is further verified based
on an experimental analysis … of fuzzy MCDM methods, the distance between two fuzzy sets is …

… To consider the uncertain issues involved with students’ career selection, picture fuzzy set
(PFS) and rough set based approaches are proposed in this study as they are found to be …

… Comparative studies and Spearman rank correlation analyses explain the superiority of our
… Furthermore, we can think that each criterion Cj is a fuzzy concept, that is, a fuzzy set Cj = …

… Finally, a comparison analysis is given to justify the feasibility, reliability, and superiority of
… structures of soft rough linear Diophantine fuzzy sets (SRLDFSs) and linear Diophantine …

… Based on the theoretical discussion for the covering based multigranulation rough fuzzy set
… By comparative analysis, the ranking results based on two different models have a highly …

… At the same time, sensitivity analysis and comparative analysis further stress the … We mainly
introduce some basic knowledge of fuzzy logic operators and fuzzy similarity relations in this …

… evaluation based on DTRSs, Pythagorean fuzzy sets and the TOPSIS method. These models
… From Table 1, we observe that fuzzy sets have been used to solve investment evaluation …

… -stated challenges, fuzzy set theory provides … comparison analysis is given to illustrate the
effectiveness of the proposed method. In the next section, we report an experimental analysis …

… By analyzing the basic concepts of fuzzy rough sets on incremental datasets, we propose …
Here, we review rough set theory and its generalization to fuzzy rough sets [9,17,31]. In …