Group Decision-Making Approach without Weighted Aggregation Operators

This paper introduces an approach for group decision-making problems (GDMP) without weighted aggregation operators. This approach is more suitable for scenarios with infinite number of individuals. A mathematical model approach is established based on the new concept of s⁎-optimal concession equilib...

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Main Authors: Min Jiang, Zhiqing Meng, Rui Shen
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2018/2903058
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author Min Jiang
Zhiqing Meng
Rui Shen
author_facet Min Jiang
Zhiqing Meng
Rui Shen
author_sort Min Jiang
collection DOAJ
description This paper introduces an approach for group decision-making problems (GDMP) without weighted aggregation operators. This approach is more suitable for scenarios with infinite number of individuals. A mathematical model approach is established based on the new concept of s⁎-optimal concession equilibrium solution without weighted aggregation operators for group decision-making problems. It is of practical significance for all decision-makers (experts) to find an optimal solution or to sort out all the candidate solutions. We prove that the s⁎-optimal concession equilibrium solution is equivalent to solving a single objective optimization problem, and, under certain conditions, the s⁎-optimal equilibrium solution always exists. Moreover, it is proven that the s⁎-optimal concession equilibrium solution is equivalent to the robust optimal solution of the group weight aggregation and the optimal solution under the worst weighted aggregation operators.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-bbbbc12a06e1452e8545b9cec4d3d6012025-02-03T01:30:14ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/29030582903058Group Decision-Making Approach without Weighted Aggregation OperatorsMin Jiang0Zhiqing Meng1Rui Shen2College of Economics and Management, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, ChinaCollege of Economics and Management, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, ChinaCollege of Economics and Management, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, ChinaThis paper introduces an approach for group decision-making problems (GDMP) without weighted aggregation operators. This approach is more suitable for scenarios with infinite number of individuals. A mathematical model approach is established based on the new concept of s⁎-optimal concession equilibrium solution without weighted aggregation operators for group decision-making problems. It is of practical significance for all decision-makers (experts) to find an optimal solution or to sort out all the candidate solutions. We prove that the s⁎-optimal concession equilibrium solution is equivalent to solving a single objective optimization problem, and, under certain conditions, the s⁎-optimal equilibrium solution always exists. Moreover, it is proven that the s⁎-optimal concession equilibrium solution is equivalent to the robust optimal solution of the group weight aggregation and the optimal solution under the worst weighted aggregation operators.http://dx.doi.org/10.1155/2018/2903058
spellingShingle Min Jiang
Zhiqing Meng
Rui Shen
Group Decision-Making Approach without Weighted Aggregation Operators
Discrete Dynamics in Nature and Society
title Group Decision-Making Approach without Weighted Aggregation Operators
title_full Group Decision-Making Approach without Weighted Aggregation Operators
title_fullStr Group Decision-Making Approach without Weighted Aggregation Operators
title_full_unstemmed Group Decision-Making Approach without Weighted Aggregation Operators
title_short Group Decision-Making Approach without Weighted Aggregation Operators
title_sort group decision making approach without weighted aggregation operators
url http://dx.doi.org/10.1155/2018/2903058
work_keys_str_mv AT minjiang groupdecisionmakingapproachwithoutweightedaggregationoperators
AT zhiqingmeng groupdecisionmakingapproachwithoutweightedaggregationoperators
AT ruishen groupdecisionmakingapproachwithoutweightedaggregationoperators