A Novel Multi-Criteria Decision-Making Method Based on Rough Sets and Fuzzy Measures

Rough set theory provides a useful tool for data analysis, mining and decision making. For multi-criteria making (MCDM), rough sets are used to obtain rules by reducing attributes objects. However, different reduction methods correspond rules, which will influence the result. To solve this problem, we propose novel method MCDM based on fuzzy measure in paper. Firstly, type of non-additive is presented importance degree sets, called an attribute measure. Secondly, information system, notion matching between two objects under attribute. Thirdly, notions degree, Choquet integral constructed. Moreover, integral. Finally, compared with other through numerical example, illustrate feasibility effectiveness our method.