A Closeness Index-Based TODIM Method for Hesitant Qualitative Group Decision Making

Zhang, Xiaolu

doi:10.15388/Informatica.2017.145

Informatica

A Closeness Index-Based TODIM Method for Hesitant Qualitative Group Decision Making

Volume 28, Issue 3 (2017), pp. 565–581

Xiaolu Zhang

https://doi.org/10.15388/Informatica.2017.145

Pub. online: 1 January 2017 Type: Research Article

Open Access

Received
1 June 2016

Accepted
1 March 2017

Published
1 January 2017

Abstract

The purpose of this study is to develop a hesitant trapezoidal fuzzy TODIM (interactive and multi-criteria decision making) with a closeness index-based ranking method to handle hesitant qualitative group decision making problems. First, a novel closeness index-based ranking method is presented to compare the magnitude of hesitant trapezoidal fuzzy numbers (HTrFNs). Based on the developed ranking method, the dominance values of alternatives over others for each expert are calculated. Then, a nonlinear programming model is established to derive the dominance values of alternatives over others for the group and correspondingly the optimal ranking order of alternatives is obtained.

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Biographies

Zhang Xiaolu

xiaolu_jy@163.com

X. Zhang received the BS and MS degrees from Jiangxi University of Finance & Economics and the PhD degree from Southeast University, China, in 2009, 2011 and 2015. His current research interests include fuzzy multiple criteria decision making, clustering analysis and group decision making, etc. He has contributed several pertinent papers in Information Sciences, International Journal of Systems Science, Information Fusion, Knowledge-Based Systems, Applied Soft Computing, Computers & Industrial Engineering, INFORMATICA, OR Spectrum, and so on.

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Keywords

multi-criteria group decision making the TODIM method hesitant trapezoidal fuzzy numbers comparative linguistic expressions the closeness index

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