Fuzzy Covering Rough Set and Its Applications
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Mathematics".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 1208
Special Issue Editors
Interests: fuzzy covering rough sets; three-way decision; multi-criteria decision making (MCDM); large-group decision making
Interests: fuzzy logics; aggregation functions; rough sets; three-way decisions and multi-attribute decision-making (MADM); data analysis and modeling of agricultural finance
Special Issue Information
Dear Colleagues,
The integration of fuzzy logic with rough set theory has paved the way for the emergence of the fuzzy covering rough set. The fuzzy covering rough set brings together the main advantages of covering rough sets and fuzzy set theory. Among them, constructing a neighborhood operator that satisfies a general binary relation is a topic to be explored. Neighborhood operators can satisfy self–inverse relations, self–inverse–symmetric relations, etc. Various types of neighborhood operators can be used to construct different fuzzy covering rough set models. These fuzzy covering rough sets should have to satisfy the inclusion relationship between lower and upper approximations. Additionally, these fuzzy covering rough set models can be used for a range of applications, such as attribute reduction, multi-attribute decision making, prediction, multi-granularity decision making, three-way decisions, etc. These will all be important directions for developing fuzzy covering rough set applications.
The aim of this Special Issue is to encourage the publication of original research papers related to the theoretical foundations, computational methods, and diverse applications of the fuzzy covering rough set.
Dr. Kai Zhang
Dr. Bin Yang
Dr. Jingqian Wang
Guest Editors
Manuscript Submission Information
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Keywords
- fuzzy covering rough set
- neighborhood operator
- multi-criteria decision making
- attribute reduction
