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Dynamic grey target decision making method with three-parameter grey numbers

Shuli Yan (School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, PR China and College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, PR China)
Sifeng Liu (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, PR China)
Xiaqing Liu (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, PR)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 1 August 2016

125

Abstract

Purpose

The purpose of this paper is to present a new method about dynamic decision problems with three-parameter grey numbers from other angle of view which not only aggregates the attribute values of alternatives of all the periods, but also excavates changes of attribute values about alternatives between the adjacent periods.

Design/methodology/approach

The authors adopt grey target method to calculate the distance between every alternative and the best, worst bull’s eye, the distance between change series and the best, worst change bull’s eye, then both distances can be aggregated to reflect information about two aspects.

Findings

This dynamic decision-making method not only aggregates the existing state of alternatives all of the stages, but also excavates the change information from vertical and horizontal direction, the decision result conforming to decision maker’s psychological behavior is obtained though adjusting the priority parameter.

Originality/value

The paper considers on change of alternative’s attribute values from one period to the next period, and the dynamic characteristic has been reflected adequately. The grey target decision-making method reflects the distance between alternative and bull’s eye, the comprehensive target distance between alternative and positive, worst bull’s eye about change series are separately provided. And the final target distance reflecting both existing state and change trend is constructed.

Keywords

Acknowledgements

The authors are very grateful to the editor and the anonymous referees for their insightful and constructive comments on this paper. This research was supported by a Marie Curie International Incoming Fellowship within the 7th European Community Framework Program (Grant No. FP7-PIIF-GA-2013-629051), the National Natural Science Foundation of China (Grant Nos 91324003, 71401051, 71171112, 71171113, 71503103 and 71271226), the joint research project of both the NSFC (Grant No. 71111130211) and the RS of UK, the Youth Foundation of Humanities and Social Science of The Education Department Henan province of China (Grant No. 2015-QN-020), the Youth Science Foundation of Henan University of Science and Technology (Grant No. 2015QN027), the Scientific Research Foundation of Henan University of Science And Technology, the major project and key project of Social Science Foundation of China (Grant No. 10zd & 014, 12AZD102), the National Special Major Project for Large Aircraft (Grant No. 2009ZX1102), Natural Science Foundation of Jiangsu Province (Grant No. BK20150157); Jiangsu Province Social Science Fund Project (Grant No. 14GLC008).

Citation

Yan, S., Liu, S. and Liu, X. (2016), "Dynamic grey target decision making method with three-parameter grey numbers", Grey Systems: Theory and Application, Vol. 6 No. 2, pp. 169-179. https://doi.org/10.1108/GS-09-2015-0059

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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