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Application of grey‐based rough decision‐making approach to suppliers selection

Guo‐Dong Li (Department of System Design, Management Systems Engineering, Tokyo Metropolitan University, Hino, Japan)
Daisuke Yamaguchi (Graduate School of Natural Science and Technology, Okayama University, Okayama City, Japan)
Masatake Nagai (Department of Engineering, Kanagawa University, Yokohama City, Japan)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 10 July 2007

794

Abstract

Purpose

This paper aims to resolve the uncertain problem in suppliers selection chain management system through using the proposed multiple attribute decision‐making (MADM) approach.

Design/methodology/approach

The approach which combines grey system theory with rough set theory is proposed.

Findings

This proposed approach take advantage of mathematical analysis power of grey system theory and at the same time take advantage of data mining and knowledge discovery power of rough set theory. It will be suitable to decision making under a more uncertain environment.

Originality/value

Provides a viewpoint on the attribute values and attribute weights of rough set decision table for all alternatives are decided by grey number based on grey system theory. The best ideal supplier can be decided by grey relational analysis based on grey number.

Keywords

Citation

Li, G., Yamaguchi, D. and Nagai, M. (2007), "Application of grey‐based rough decision‐making approach to suppliers selection", Journal of Modelling in Management, Vol. 2 No. 2, pp. 131-142. https://doi.org/10.1108/17465660710763416

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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