Group decision making typically requires eliciting and coordinating the preferences of group members.In this study,the authors develop an overall framework of group consensus in context of hesitant fuzzy linguistic pr...Group decision making typically requires eliciting and coordinating the preferences of group members.In this study,the authors develop an overall framework of group consensus in context of hesitant fuzzy linguistic preference relations(HFLPRs).A new notion of distance measure between two HFLPRs is defined,based on which a consensual framework consists of two mechanisms,the automatic consensus reaching and the interactive consensus reaching is presented.Accordingly,they,respectively,design two algorithms to implement these mechanisms.Finally,a group decision problem of green supplier selection is provided to exemplify and verify both of the proposed methods,and a comparative analysis with some related approaches is performed.展开更多
In recent years,large-scale group decision-making(LSGDM)has garnered significant scholarly attention.Given that decision-makers(DMs)may come from various departments and have distinct knowledge backgrounds,they often ...In recent years,large-scale group decision-making(LSGDM)has garnered significant scholarly attention.Given that decision-makers(DMs)may come from various departments and have distinct knowledge backgrounds,they often use heterogeneous information to express their assessments.To address these challenges,this paper proposes a new decision-making model for large groups in a social network environment.Initially,the large group is divided into communities based on the trust relationships among DMs using community detection algorithm.Subsequently,a direct method is used to process DMs’heterogeneous information.Simultaneously,we integrate the weight information of DMs and communities to calculate the preferences of the group using a weighted averaging operator.Additionally,an innovative feedback mechanism is designed,which takes into account the bounded confidence of experts and the influence of community leaders,to enhance the consensus level.Finally,the feasibility and effectiveness of the proposed model are demonstrated through a specific case study.展开更多
Emergency decision making(EDM) is an effective way to deal with emergency situations because of its prominent role in alleviating the losses of properties and lives caused by emergency events. It has drawn increasing ...Emergency decision making(EDM) is an effective way to deal with emergency situations because of its prominent role in alleviating the losses of properties and lives caused by emergency events. It has drawn increasing attention from both governments and academia, and become an important research topic in recent years. Studies show that decision makers are usually guided by bounded rationality under risk and uncertainty conditions. Their psychological behavior plays an important role in the decision making process, and EDM problems are usually characterized by high risk and uncertainty. Thus, decision makers' psychological behavior has been considered in existing EDM approaches based on prospect theory. An emergency event might evolve into different situations due to its dynamic evolution, which is one of the distinctive features of emergency events. This important issue has been discussed in existing EDM approaches, in which different emergency situations are dealt with by devising different solutions. However, existing EDM approaches do not consider decision makers' psychological behavior together with the different emergency situations and the different solutions. Motivated by such limitation, this study proposed a novel approach based on prospect theory considering emergency situations, which considers not only decision makers' psychological behavior, but also different emergency situations in the EDM process. Two examples and related comparison are provided to illustrate the feasibility and validity of this approach.展开更多
基金The work was supported by the Social Science Foundation of Fujian Province(no.FJ2018C013).
文摘Group decision making typically requires eliciting and coordinating the preferences of group members.In this study,the authors develop an overall framework of group consensus in context of hesitant fuzzy linguistic preference relations(HFLPRs).A new notion of distance measure between two HFLPRs is defined,based on which a consensual framework consists of two mechanisms,the automatic consensus reaching and the interactive consensus reaching is presented.Accordingly,they,respectively,design two algorithms to implement these mechanisms.Finally,a group decision problem of green supplier selection is provided to exemplify and verify both of the proposed methods,and a comparative analysis with some related approaches is performed.
基金supported by National Natural Science Foundation of China:[Grant Number 72201066].
文摘In recent years,large-scale group decision-making(LSGDM)has garnered significant scholarly attention.Given that decision-makers(DMs)may come from various departments and have distinct knowledge backgrounds,they often use heterogeneous information to express their assessments.To address these challenges,this paper proposes a new decision-making model for large groups in a social network environment.Initially,the large group is divided into communities based on the trust relationships among DMs using community detection algorithm.Subsequently,a direct method is used to process DMs’heterogeneous information.Simultaneously,we integrate the weight information of DMs and communities to calculate the preferences of the group using a weighted averaging operator.Additionally,an innovative feedback mechanism is designed,which takes into account the bounded confidence of experts and the influence of community leaders,to enhance the consensus level.Finally,the feasibility and effectiveness of the proposed model are demonstrated through a specific case study.
基金supported by the Young Doctoral Dissertation Project of the Social Science Planning Project of Fujian Province (Project No. FJ2016C202)the National Natural Science Foundation of China (Project No. 71371053, 61773123)
文摘Emergency decision making(EDM) is an effective way to deal with emergency situations because of its prominent role in alleviating the losses of properties and lives caused by emergency events. It has drawn increasing attention from both governments and academia, and become an important research topic in recent years. Studies show that decision makers are usually guided by bounded rationality under risk and uncertainty conditions. Their psychological behavior plays an important role in the decision making process, and EDM problems are usually characterized by high risk and uncertainty. Thus, decision makers' psychological behavior has been considered in existing EDM approaches based on prospect theory. An emergency event might evolve into different situations due to its dynamic evolution, which is one of the distinctive features of emergency events. This important issue has been discussed in existing EDM approaches, in which different emergency situations are dealt with by devising different solutions. However, existing EDM approaches do not consider decision makers' psychological behavior together with the different emergency situations and the different solutions. Motivated by such limitation, this study proposed a novel approach based on prospect theory considering emergency situations, which considers not only decision makers' psychological behavior, but also different emergency situations in the EDM process. Two examples and related comparison are provided to illustrate the feasibility and validity of this approach.
