Abstract
An important objective of a group decision-making problem is to determine the weights of attributes that are given by experts participating in the decision-making process. Since different
decision-makers have unequal importance in decision-making, a series of studies focused on finding a set of appropriate weights for experts participating in a decision problem. In this paper, the
problem of weight determination among decision-makers is investigated by extending an algorithm taken from the technique for order preference by similarity-to-ideal solution. In this case, a pair of most compromising and least compromising solutions is derived from individual judgments of decision-makers and then, these solutions are applied as the bases for determining the magnitude of individual alignment with the group opinion by using a closeness coefficient approach. Determining the weights of decision-makers, the group decision-making problem is then solved. Application of the proposed method is illustrated by a numerical example for the selection of a maintenance
strategy.
decision-makers have unequal importance in decision-making, a series of studies focused on finding a set of appropriate weights for experts participating in a decision problem. In this paper, the
problem of weight determination among decision-makers is investigated by extending an algorithm taken from the technique for order preference by similarity-to-ideal solution. In this case, a pair of most compromising and least compromising solutions is derived from individual judgments of decision-makers and then, these solutions are applied as the bases for determining the magnitude of individual alignment with the group opinion by using a closeness coefficient approach. Determining the weights of decision-makers, the group decision-making problem is then solved. Application of the proposed method is illustrated by a numerical example for the selection of a maintenance
strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 738-755 |
| Number of pages | 18 |
| Journal | Technological and Economic Development of Economy |
| Volume | 21 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 3 Sept 2015 |
| Externally published | Yes |
Bibliographical note
Copyright © 2019 The Author(s). Published by VGTU Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords
- weights
- multi-attribute
- fuzzy
- group decision-making
- linguistic variable
- Triangular fuzzy numbers
- most compromising solution
- least compromising solution