Heterogeneous multigranulation fuzzy rough set-based multiple attribute group decision making with heterogeneous preference information. (August 2018)

• Record Type: Journal Article
• Authors: Sun, Bingzhen; Ma, Weimin; Chen, Xiangtang; Li, Xiaonan
• Is Part Of: Computers & industrial engineering. Volume 122(2018)
• Page Start: 24
• Page End: 38
• Publication Date: 2018-08
• Subjects: Multiple attribute group decision-making (MAGDM) -- Multi-source heterogeneous attribute information system -- Rough set -- Multigranulation fuzzy rough set -- Heterogeneous attribute values; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2018.05.034
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A heterogeneous binary relation over multi-source information system. A heterogeneous attribute multigranulation fuzzy rough set model. An approach to MAGDM with preference information based on heterogeneous multigranulation fuzzy rough set. An application of the method to evaluation of the emergency plans of unconventional emergency events. Abstract: This study proposes a heterogeneous attribute multigranulation fuzzy rough set approach to the problem of multiple attribute group decision-making (MAGDM) under uncertainty. We first present the definition of heterogeneous attribute multi-source information systems and then construct the heterogeneous multigranulation approximation space using the arbitrary binary relation classes generated by different categories attribute. We then give the rough approximation of a fuzzy decision-making object with respect to heterogeneous multigranulation approximation space, i.e., the heterogeneous attribute multigranulation fuzzy rough set model over multi-source information system. Meanwhile, we investigate some interesting properties and conclusions for the proposed new model and also discuss the interrelationship between the proposed heterogeneous attribute multigranulation fuzzy rough set model and the existing generalized rough set models. After that, we construct a new approach to MAGDM problems based on heterogeneous attribute multigranulation fuzzy rough set theory. The decision-making procedure and the methodology as well as the algorithm of the proposed method are given and a detailed comparison of the traditional methods to MAGDM problems illustrates the advantages and limitations. Finally, an example of handling MAGDM problem of evaluation of emergency plans for unconventional emergency events illustrates this approach.