Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced h...Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced hydrogen,and the rational selection of a viable method is crucial for promoting sustainability and green practices.Typically,hydrogen storage is associated with diverse sustainable and circular economy(SCE)criteria.As a result,the authors consider the situation a multi-criteria decision-making(MCDM)problem.Studies infer that previous models for hydrogen storage method(HSM)selection(i)do not consider preferences in the natural language form;(ii)weights of experts are not methodically determined;(iii)hesitation of experts during criteria weight assessment is not effectively explored;and(iv)three-stage solution of a suitable selection of HSM is unexplored.Driven by these gaps,in this paper,authors put forward a new integrated framework,which considers double hierarchy linguistic information for rating,criteria importance through inter-criteria correlation(CRITIC)for expert weight calculation,evidence-based Bayesian method for criteria weight estimation,and combined compromise solution(CoCoSo)for ranking HSMs.The applicability of the developed framework is testified by using a case example of HSM selection in India.Sensitivity and comparative analysis reveal the merits and limitations of the developed framework.展开更多
针对传统评估方法难以量化不确定性、且因未能保留中立态度而引发决策偏差的问题,首先在语言q阶正交模糊Z数(LqROFZ)的框架下,引入中性运算法则,定义中性运算下加权算术(LqROFZNWA)与加权几何(LqROFZNWGA)聚合算子并论证其数学特性,规...针对传统评估方法难以量化不确定性、且因未能保留中立态度而引发决策偏差的问题,首先在语言q阶正交模糊Z数(LqROFZ)的框架下,引入中性运算法则,定义中性运算下加权算术(LqROFZNWA)与加权几何(LqROFZNWGA)聚合算子并论证其数学特性,规避传统运算对专家中立态度的破坏,确保信息聚合时完整保留原始中立判断。其次,提出基于排序结果与评价值二维相似度的属性偏好计算方法,并借助Jensen-Shannon散度优化模型,动态平衡主客观信息;最后,采用Co Co So排序方法,有效融合两种聚合路径,并以安徽省药企质量风险评估为实例,验证该模型的优越性与有效性。展开更多
文摘Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced hydrogen,and the rational selection of a viable method is crucial for promoting sustainability and green practices.Typically,hydrogen storage is associated with diverse sustainable and circular economy(SCE)criteria.As a result,the authors consider the situation a multi-criteria decision-making(MCDM)problem.Studies infer that previous models for hydrogen storage method(HSM)selection(i)do not consider preferences in the natural language form;(ii)weights of experts are not methodically determined;(iii)hesitation of experts during criteria weight assessment is not effectively explored;and(iv)three-stage solution of a suitable selection of HSM is unexplored.Driven by these gaps,in this paper,authors put forward a new integrated framework,which considers double hierarchy linguistic information for rating,criteria importance through inter-criteria correlation(CRITIC)for expert weight calculation,evidence-based Bayesian method for criteria weight estimation,and combined compromise solution(CoCoSo)for ranking HSMs.The applicability of the developed framework is testified by using a case example of HSM selection in India.Sensitivity and comparative analysis reveal the merits and limitations of the developed framework.
文摘针对传统评估方法难以量化不确定性、且因未能保留中立态度而引发决策偏差的问题,首先在语言q阶正交模糊Z数(LqROFZ)的框架下,引入中性运算法则,定义中性运算下加权算术(LqROFZNWA)与加权几何(LqROFZNWGA)聚合算子并论证其数学特性,规避传统运算对专家中立态度的破坏,确保信息聚合时完整保留原始中立判断。其次,提出基于排序结果与评价值二维相似度的属性偏好计算方法,并借助Jensen-Shannon散度优化模型,动态平衡主客观信息;最后,采用Co Co So排序方法,有效融合两种聚合路径,并以安徽省药企质量风险评估为实例,验证该模型的优越性与有效性。
