为了探索q-RO(q-rung orthopair)模糊信息系统中具备稳定决策结果的多属性群决策方法,依据多粒度概率粗糙集与MULTIMOORA(multi-objective optimization by ratio analysis plus the full MULTIplicative form)建立了一种新的q-RO模糊...为了探索q-RO(q-rung orthopair)模糊信息系统中具备稳定决策结果的多属性群决策方法,依据多粒度概率粗糙集与MULTIMOORA(multi-objective optimization by ratio analysis plus the full MULTIplicative form)建立了一种新的q-RO模糊多粒度计算模型,并用于求解多属性群决策问题。结合q-RO模糊概率粗糙集与多粒度粗糙集,提出了多粒度q-RO模糊概率粗糙集模型。利用离差最大化法计算属性权重与决策者权重,进一步建立了基于多粒度概率粗糙集与MULTIMOORA的q-RO模糊多属性群决策方法,该方法考虑了决策风险与容错能力,可提供稳定的决策结果。通过2个实际算例验证了所建立方法的可行性与有效性。展开更多
The main purpose of this study is to bring in a new extension of multi-objective optimisation on the basis of ratio analysis plus full multiplicative form(MULTIMOORA)in trapezoidal neutrosophic number(TrNN)environment...The main purpose of this study is to bring in a new extension of multi-objective optimisation on the basis of ratio analysis plus full multiplicative form(MULTIMOORA)in trapezoidal neutrosophic number(TrNN)environment.MULTIMOORA strategy provides high efficiency and effectiveness in problem-solving.The new MULTIMOORA strategy consists of three components.The components are ratio system approach,reference point approach,and full multiplicative form.To develop the proposed strategy,the authors find out three ranking order of alternatives using the three components.The final ranking order of the alternatives is based on dominance property.The study is original as it first develops the MULTIMOORA strategy in the TrNN environment,which they call TrNN-MULTIMOORA.They solve a realistic banking problem involving multi-attribute group decision making in the TrNN environment to reflect the applicability and proficiency of the developed strategy.They also present a comparison between the proposed strategy and the existing tomada de decisao interativa e multicritévio and VlseKriterijumska Optimizcija I Kaompromisno Resenje strategies.展开更多
在太阳能应急灯在线评论信息下依据图卷积网络模型深入探索稳健型多粒度群决策。首先,对太阳能应急灯的在线评论进行情感分析获得用户对产品的情感倾向,并将其转化成梯形模糊数;其次,使用图卷积网络计算决策者和属性权重;再次,依据多粒...在太阳能应急灯在线评论信息下依据图卷积网络模型深入探索稳健型多粒度群决策。首先,对太阳能应急灯的在线评论进行情感分析获得用户对产品的情感倾向,并将其转化成梯形模糊数;其次,使用图卷积网络计算决策者和属性权重;再次,依据多粒度概率粗糙集和MULTIMOORA(multi-objective optimization by ratio analysis plus the full multi-plicative form)建立梯形模糊多粒度群决策模型,采用后悔理论进行多源信息融合;最后,通过太阳能应急灯购买决策的实例,验证提出方法的可行性与有效性。展开更多
Purpose-The application of the traditional failure mode and effects analysis(FMEA)technique has been widely questioned in evaluation information,risk factor weights and robustness of results.This paper develops a nove...Purpose-The application of the traditional failure mode and effects analysis(FMEA)technique has been widely questioned in evaluation information,risk factor weights and robustness of results.This paper develops a novel FMEA framework with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment to solve these problems.Design/methodology/approach-This paper introduces innovatively interval-value Pythagorean fuzzy weighted averaging(IVPFWA)operator,Tchebycheff metric distance and interval-value Pythagorean fuzzy weighted geometric(IVPFWG)operator into the MULTIMOORA submethods to obtain the risk ranking order for emergencies.Finally,an illustrative case is provided to demonstrate the practicality and feasibility of the novel fuzzy FMEA framework.Findings-The feasibility and validity of the proposed method are verified by comparing with the existing methods.The calculation results indicate that the proposed method is more consistent with the actual situation of project and has more reference value.Practical implications-The research results can provide supporting information for risk management decisions and offer decision-making basis for formulation of the follow-up emergency control and disposal scheme,which has certain guiding significance for the practical popularization and application of risk management strategies in the infrastructure projects.Originality/value–A novel approach using FMEA with extended MULTIMOORA method is developed under IVPF environment,which considers weights of risk factors and experts.The method proposed has significantly improved the integrity of information in expert evaluation and the robustness of results.展开更多
文摘为了探索q-RO(q-rung orthopair)模糊信息系统中具备稳定决策结果的多属性群决策方法,依据多粒度概率粗糙集与MULTIMOORA(multi-objective optimization by ratio analysis plus the full MULTIplicative form)建立了一种新的q-RO模糊多粒度计算模型,并用于求解多属性群决策问题。结合q-RO模糊概率粗糙集与多粒度粗糙集,提出了多粒度q-RO模糊概率粗糙集模型。利用离差最大化法计算属性权重与决策者权重,进一步建立了基于多粒度概率粗糙集与MULTIMOORA的q-RO模糊多属性群决策方法,该方法考虑了决策风险与容错能力,可提供稳定的决策结果。通过2个实际算例验证了所建立方法的可行性与有效性。
文摘The main purpose of this study is to bring in a new extension of multi-objective optimisation on the basis of ratio analysis plus full multiplicative form(MULTIMOORA)in trapezoidal neutrosophic number(TrNN)environment.MULTIMOORA strategy provides high efficiency and effectiveness in problem-solving.The new MULTIMOORA strategy consists of three components.The components are ratio system approach,reference point approach,and full multiplicative form.To develop the proposed strategy,the authors find out three ranking order of alternatives using the three components.The final ranking order of the alternatives is based on dominance property.The study is original as it first develops the MULTIMOORA strategy in the TrNN environment,which they call TrNN-MULTIMOORA.They solve a realistic banking problem involving multi-attribute group decision making in the TrNN environment to reflect the applicability and proficiency of the developed strategy.They also present a comparison between the proposed strategy and the existing tomada de decisao interativa e multicritévio and VlseKriterijumska Optimizcija I Kaompromisno Resenje strategies.
文摘在太阳能应急灯在线评论信息下依据图卷积网络模型深入探索稳健型多粒度群决策。首先,对太阳能应急灯的在线评论进行情感分析获得用户对产品的情感倾向,并将其转化成梯形模糊数;其次,使用图卷积网络计算决策者和属性权重;再次,依据多粒度概率粗糙集和MULTIMOORA(multi-objective optimization by ratio analysis plus the full multi-plicative form)建立梯形模糊多粒度群决策模型,采用后悔理论进行多源信息融合;最后,通过太阳能应急灯购买决策的实例,验证提出方法的可行性与有效性。
基金acknowledge with gratitude National Key R&D Program of China(No.2018YFC0406905)the MOE(Ministry of Education in China)Project of Humanities and Social Sciences(No.19YJC630078)+4 种基金Youth Talents Teachers Scheme of Henan Province Universities(No.2018GGJS080)the National Natural Science Foundation of China(No.71974056,No.71302191)the Foundation for Distinguished Young Talents in Higher Education of Henan(Humanities&Social Sciences),China(No.2017-cxrc-023)China Scholarship Council(No.201908410388)2018 Henan Province Water Conservancy Science and Technology Project(GG201828)。
文摘Purpose-The application of the traditional failure mode and effects analysis(FMEA)technique has been widely questioned in evaluation information,risk factor weights and robustness of results.This paper develops a novel FMEA framework with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment to solve these problems.Design/methodology/approach-This paper introduces innovatively interval-value Pythagorean fuzzy weighted averaging(IVPFWA)operator,Tchebycheff metric distance and interval-value Pythagorean fuzzy weighted geometric(IVPFWG)operator into the MULTIMOORA submethods to obtain the risk ranking order for emergencies.Finally,an illustrative case is provided to demonstrate the practicality and feasibility of the novel fuzzy FMEA framework.Findings-The feasibility and validity of the proposed method are verified by comparing with the existing methods.The calculation results indicate that the proposed method is more consistent with the actual situation of project and has more reference value.Practical implications-The research results can provide supporting information for risk management decisions and offer decision-making basis for formulation of the follow-up emergency control and disposal scheme,which has certain guiding significance for the practical popularization and application of risk management strategies in the infrastructure projects.Originality/value–A novel approach using FMEA with extended MULTIMOORA method is developed under IVPF environment,which considers weights of risk factors and experts.The method proposed has significantly improved the integrity of information in expert evaluation and the robustness of results.
