Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making

We propose a new class of aggregation operator based on utility function and apply them to group decision-making problem. First of all, based on an optimal deviation model, a new operator called the interval generalized ordered weighted utility multiple averaging (IGOWUMA) operator is proposed, it i...

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Main Authors: Yunna Wu, Chuanbo Xu, Haobo Zhang, Jianwei Gao
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/9/7/103
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spelling doaj-4ba479406ac840b7ad2c0afb9b121dde2020-11-25T02:29:16ZengMDPI AGSymmetry2073-89942017-07-019710310.3390/sym9070103sym9070103Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-MakingYunna Wu0Chuanbo Xu1Haobo Zhang2Jianwei Gao3School of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaWe propose a new class of aggregation operator based on utility function and apply them to group decision-making problem. First of all, based on an optimal deviation model, a new operator called the interval generalized ordered weighted utility multiple averaging (IGOWUMA) operator is proposed, it incorporates the risk attitude of decision-makers (DMs) in the aggregation process. Some desirable properties of the IGOWUMA operator are studied afterward. Subsequently, under the hyperbolic absolute risk aversion (HARA) utility function, another new operator named as interval generalized ordered weighted hyperbolic absolute risk aversion utility multiple averaging-HARA (IGOWUMA-HARA) operator is also defined. Then, we discuss its families and find that it includes a wide range of aggregation operators. To determine the weights of the IGOWUMA-HARA operator, a preemptive nonlinear objective programming model is constructed, which can determine a uniform weighting vector to guarantee the uniform standard comparison between the alternatives and measure their fair competition under the condition of valid comparison between various alternatives. Moreover, a new approach for group decision-making is developed based on the IGOWUMA-HARA operator. Finally, a comparison analysis is carried out to illustrate the superiority of the proposed method and the result implies that our operator is superior to the existing operator.https://www.mdpi.com/2073-8994/9/7/103group decision-makingaggregation operatorweightutility function
collection DOAJ
language English
format Article
sources DOAJ
author Yunna Wu
Chuanbo Xu
Haobo Zhang
Jianwei Gao
spellingShingle Yunna Wu
Chuanbo Xu
Haobo Zhang
Jianwei Gao
Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making
Symmetry
group decision-making
aggregation operator
weight
utility function
author_facet Yunna Wu
Chuanbo Xu
Haobo Zhang
Jianwei Gao
author_sort Yunna Wu
title Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making
title_short Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making
title_full Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making
title_fullStr Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making
title_full_unstemmed Interval Generalized Ordered Weighted Utility Multiple Averaging Operators and Their Applications to Group Decision-Making
title_sort interval generalized ordered weighted utility multiple averaging operators and their applications to group decision-making
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2017-07-01
description We propose a new class of aggregation operator based on utility function and apply them to group decision-making problem. First of all, based on an optimal deviation model, a new operator called the interval generalized ordered weighted utility multiple averaging (IGOWUMA) operator is proposed, it incorporates the risk attitude of decision-makers (DMs) in the aggregation process. Some desirable properties of the IGOWUMA operator are studied afterward. Subsequently, under the hyperbolic absolute risk aversion (HARA) utility function, another new operator named as interval generalized ordered weighted hyperbolic absolute risk aversion utility multiple averaging-HARA (IGOWUMA-HARA) operator is also defined. Then, we discuss its families and find that it includes a wide range of aggregation operators. To determine the weights of the IGOWUMA-HARA operator, a preemptive nonlinear objective programming model is constructed, which can determine a uniform weighting vector to guarantee the uniform standard comparison between the alternatives and measure their fair competition under the condition of valid comparison between various alternatives. Moreover, a new approach for group decision-making is developed based on the IGOWUMA-HARA operator. Finally, a comparison analysis is carried out to illustrate the superiority of the proposed method and the result implies that our operator is superior to the existing operator.
topic group decision-making
aggregation operator
weight
utility function
url https://www.mdpi.com/2073-8994/9/7/103
work_keys_str_mv AT yunnawu intervalgeneralizedorderedweightedutilitymultipleaveragingoperatorsandtheirapplicationstogroupdecisionmaking
AT chuanboxu intervalgeneralizedorderedweightedutilitymultipleaveragingoperatorsandtheirapplicationstogroupdecisionmaking
AT haobozhang intervalgeneralizedorderedweightedutilitymultipleaveragingoperatorsandtheirapplicationstogroupdecisionmaking
AT jianweigao intervalgeneralizedorderedweightedutilitymultipleaveragingoperatorsandtheirapplicationstogroupdecisionmaking
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