As the generalization of intuitionistic fuzzy set(IFS) and Pythagorean fuzzy set(PFS),the q-rung orthopair fuzzy set(q-ROFS) has emerged as a more meaningful and effective tool to solve multiple attribute group decisi...As the generalization of intuitionistic fuzzy set(IFS) and Pythagorean fuzzy set(PFS),the q-rung orthopair fuzzy set(q-ROFS) has emerged as a more meaningful and effective tool to solve multiple attribute group decision making(MAGDM) problems in management and scientific domains.The MABAC(multi-attributive border approximation area comparison) model,which handles the complex and uncertain decision making issues by computing the distance between each alternative and the bored approximation area(BAA),has been investigated by an increasing number of researchers more recent years.In our article,consider the conventional MABAC model and some fundamental theories of q-rung orthopair fuzzy set(q-ROFS),we shall introduce the q-rung orthopair fuzzy MABAC model to solve MADM problems.at first,we briefly review some basic theories related to q-ROFS and conventional MABAC model.Furthermore,the q-rung orthopair fuzzy MABAC model is built and the decision making steps are described.In the end,An actual MADM application has been given to testify this new model and some comparisons between this novel MABAC modeL and two q-ROFNs aggregation operators are provided to further demonstrate the merits of the q-rung orthopair fuzzy MABAC model.展开更多
随着冷链物流服务的市场需求不断增加,我国冷链物流发展进入了快车道。为了评估冷链物流竞争力水平,本文提出了云模型-MABAC冷链物流竞争力评价模型,并以长三角地区三省一市冷链物流竞争力为研究对象进行评价,云模型-MABAC方法具有保留...随着冷链物流服务的市场需求不断增加,我国冷链物流发展进入了快车道。为了评估冷链物流竞争力水平,本文提出了云模型-MABAC冷链物流竞争力评价模型,并以长三角地区三省一市冷链物流竞争力为研究对象进行评价,云模型-MABAC方法具有保留模糊性和随机性以及考虑潜在损益价值的优点。结果表明,江苏省冷链物流竞争力排名最高,安徽省冷链物流竞争力排名最低,浙江省和上海市冷链物流竞争力处于中间水平。对长三角地区三省一市冷链物流发展提出建议,促进长三角地区三省一市冷链物流建设现代化冷链物流示范区和枢纽。With the increasing market demand for cold chain logistics services, the development of cold chain logistics in China has entered the fast lane. In order to evaluate the level of competitiveness of cold chain logistics, this paper proposes a cloud model-MABAC cold chain logistics competitiveness evaluation model and evaluates the competitiveness of cold chain logistics in three provinces and one city in the Yangtze River Delta region as the research object. The cloud model-MABAC has the advantage of preserving ambiguity and randomness as well as considering the value of potential gains and losses. The results show that Jiangsu Province ranks the highest in cold chain logistics competitiveness, Anhui Province ranks the lowest in cold chain logistics competitiveness, and Zhejiang Province and Shanghai Municipality rank in the middle. Suggestions are made for the development of cold chain logistics in the three provinces and one city in the Yangtze River Delta region, in order to promote the construction of modern cold chain logistics demonstration zones and hubs in the three provinces and one city in the Yangtze River Delta region.展开更多
农村地区之间存在着显著的地区差异,为了指导农村电网投资,提出一种基于组合赋权和多属性边界逼近区域比较法(multi-attributive border approximation area comparison,MABAC)的差异化农网综合效益评价模型。首先,综合考虑农村地区差...农村地区之间存在着显著的地区差异,为了指导农村电网投资,提出一种基于组合赋权和多属性边界逼近区域比较法(multi-attributive border approximation area comparison,MABAC)的差异化农网综合效益评价模型。首先,综合考虑农村地区差异及乡村振兴战略对农网发展的要求,从农网投资经济效益、供电能力、基础设施情况、地区发展带动、生产生活质量、清洁低碳发展等6个方面构建农网综合效益评价指标体系;其次,基于最小化主客观权重异质性原则构建基于图模型—熵权法的组合赋权模型,并引入MABAC方法用于解决农网综合效益评价问题;最后,通过算例分析验证了所提出模型的有效性。展开更多
基金supported by the National Natural Science Foundation of China under Grant No.71571128the Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China(No.14XJCZH002,15YJCZH138)。
文摘As the generalization of intuitionistic fuzzy set(IFS) and Pythagorean fuzzy set(PFS),the q-rung orthopair fuzzy set(q-ROFS) has emerged as a more meaningful and effective tool to solve multiple attribute group decision making(MAGDM) problems in management and scientific domains.The MABAC(multi-attributive border approximation area comparison) model,which handles the complex and uncertain decision making issues by computing the distance between each alternative and the bored approximation area(BAA),has been investigated by an increasing number of researchers more recent years.In our article,consider the conventional MABAC model and some fundamental theories of q-rung orthopair fuzzy set(q-ROFS),we shall introduce the q-rung orthopair fuzzy MABAC model to solve MADM problems.at first,we briefly review some basic theories related to q-ROFS and conventional MABAC model.Furthermore,the q-rung orthopair fuzzy MABAC model is built and the decision making steps are described.In the end,An actual MADM application has been given to testify this new model and some comparisons between this novel MABAC modeL and two q-ROFNs aggregation operators are provided to further demonstrate the merits of the q-rung orthopair fuzzy MABAC model.
文摘随着冷链物流服务的市场需求不断增加,我国冷链物流发展进入了快车道。为了评估冷链物流竞争力水平,本文提出了云模型-MABAC冷链物流竞争力评价模型,并以长三角地区三省一市冷链物流竞争力为研究对象进行评价,云模型-MABAC方法具有保留模糊性和随机性以及考虑潜在损益价值的优点。结果表明,江苏省冷链物流竞争力排名最高,安徽省冷链物流竞争力排名最低,浙江省和上海市冷链物流竞争力处于中间水平。对长三角地区三省一市冷链物流发展提出建议,促进长三角地区三省一市冷链物流建设现代化冷链物流示范区和枢纽。With the increasing market demand for cold chain logistics services, the development of cold chain logistics in China has entered the fast lane. In order to evaluate the level of competitiveness of cold chain logistics, this paper proposes a cloud model-MABAC cold chain logistics competitiveness evaluation model and evaluates the competitiveness of cold chain logistics in three provinces and one city in the Yangtze River Delta region as the research object. The cloud model-MABAC has the advantage of preserving ambiguity and randomness as well as considering the value of potential gains and losses. The results show that Jiangsu Province ranks the highest in cold chain logistics competitiveness, Anhui Province ranks the lowest in cold chain logistics competitiveness, and Zhejiang Province and Shanghai Municipality rank in the middle. Suggestions are made for the development of cold chain logistics in the three provinces and one city in the Yangtze River Delta region, in order to promote the construction of modern cold chain logistics demonstration zones and hubs in the three provinces and one city in the Yangtze River Delta region.
文摘农村地区之间存在着显著的地区差异,为了指导农村电网投资,提出一种基于组合赋权和多属性边界逼近区域比较法(multi-attributive border approximation area comparison,MABAC)的差异化农网综合效益评价模型。首先,综合考虑农村地区差异及乡村振兴战略对农网发展的要求,从农网投资经济效益、供电能力、基础设施情况、地区发展带动、生产生活质量、清洁低碳发展等6个方面构建农网综合效益评价指标体系;其次,基于最小化主客观权重异质性原则构建基于图模型—熵权法的组合赋权模型,并引入MABAC方法用于解决农网综合效益评价问题;最后,通过算例分析验证了所提出模型的有效性。
