Decision-making Method for an Ordered Information System Based on Multi-granulation Rough Sets

Abstract

In this paper, we study an ordered problem of objects with multi-attributes based on granulation computing (GrC) for an ordered information system (OIS) and develops a novel multi-granulation rough set (MGRS) named the compromise multi-granulation rough set (CMGRS). The CMGRS is a generalized model of the classical MGRS. This new tool has a good weak transitivity and can be used to address ordered problems of objects in an OIS. Based on this novel MGRS, we construct a new approach for the ordered problem of objects for an OIS. This research introduces a method and discusses its characteristics. The results from an example investment project and the 2007 sustainability report indicate that our new approach is significant and efficient and achieves optimal results.