Distance measures and -approximations with rough complex fuzzy models
Rough set theory is a key approach to model and apprehend the situations involving
uncertainty without additional information and suppositions. Complex fuzzy sets are useful in …
uncertainty without additional information and suppositions. Complex fuzzy sets are useful in …
Group decision‐making analysis based on distance measures under rough environment
A rough set as a superset of a crisp set is a mathematical tool to cope with uncertainty using
initial data without additional assumptions and pre‐defined parameters. Using the technique …
initial data without additional assumptions and pre‐defined parameters. Using the technique …
Choquet-like integrals with multi-neighborhood approximation numbers for novel covering granular reduction methods
J Wang, S Shao, X Zhang - Mathematics, 2023 - mdpi.com
Covering granular reduction is an important issue in multi-covering information systems. The
main methods to solve this problem are set operators. How to solve this problem by …
main methods to solve this problem are set operators. How to solve this problem by …
Matrix Approaches for Covering‐Based Multigranulation Fuzzy Rough Set Models
Z Chang, J Wei - Journal of Mathematics, 2023 - Wiley Online Library
Multigranulation rough set theory is one of the most effective tools for data analysis and
mining in multicriteria information systems. Six types of covering‐based multigranulation …
mining in multicriteria information systems. Six types of covering‐based multigranulation …