Multi-criteria sorting method based on AHP and variable precision rough set

Author

Li, Yan ; Han, Zhen ; He, Qiang

Author_Institution

Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China

Volume

1

fYear

2012

fDate

15-17 July 2012

Firstpage

261

Lastpage

266

Abstract

This paper presents a multi-criteria decision making method based on variable precision rough set (VPRS) and analytic hierarchy process (AHP). In the method, attribute reduction is firstly implemented on the given pairwise comparison table based on dominance relation rough set theory. AHP is then used to test the consistency of the comparison table due to the transitive property of dominance relation. If the table is reliable, decision rules will be extracted by VPRS method, and finally the sorting result will be obtained. The feasibility and effectiveness of this method is demonstrated by an illustrative example.

Keywords

analytic hierarchy process; decision trees; learning (artificial intelligence); rough set theory; sorting; AHP; VPRS method; analytic hierarchy process; attribute reduction; comparison table consistency; decision rules extraction; dominance relation rough set theory; multicriteria decision making method; multicriteria sorting method; pairwise comparison table; transitive property; variable precision rough set method; Abstracts; Analytic hierarchy process; Consistency; Dominance relation; Multi-criteria Decision making; Variable precision rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6358922

Filename

6358922