作为模糊语言集的一种,概率语言集能够反映决策问题中评价准则权重重要程度及其概率,这在决策问题中较为实用。本文运用实验设计(Design of Experiment,DOE)的方法,对权重信息以概率语言给出的多准则决策问题进行研究:通过多次模拟权重...作为模糊语言集的一种,概率语言集能够反映决策问题中评价准则权重重要程度及其概率,这在决策问题中较为实用。本文运用实验设计(Design of Experiment,DOE)的方法,对权重信息以概率语言给出的多准则决策问题进行研究:通过多次模拟权重重要程度及其概率,设计出多组实验权重,并用GRA法求得每组实验数据的得分,获得描述该决策问题准则值与评价结果相互影响关系的最适用回归方程,将决策问题的实际数据带入方程进行运算,得出方案排序结果。通过快速成型过程、柔性制造系统过程两个案例,进行对比验证。结果表明所提出的方法能较好地处理基于概率语言权重信息的多准则决策问题,计算简单且速度快,可重复性强且颇为实用。展开更多
Forests produce several types of benefits to both forest landowners and society.The social benefit of private forestry is equal to private benefit plus positive externalities minus negative externalities.This study de...Forests produce several types of benefits to both forest landowners and society.The social benefit of private forestry is equal to private benefit plus positive externalities minus negative externalities.This study developed alternative metrics for the evaluation of the social benefit of forest management.Forest management was assessed in terms of five criteria:economic,socio-cultural,environmental and ecological performance and the resilience of the forest ecosystem.Each criterion was described with three numerical indicators.Alternative performance indices were calculated from the indicator values using methods developed for multi-criteria decision making.It was concluded that indices based on the multiplicative Cobb-Douglas utility function might be the most recommendable when forestry should produce a balanced combination of different ecosystem services.When the indices were used to compare alternative silvicultural systems in terms of their social performance,continuous cover management was ranked better than even-aged management.The performance of even-aged management improved when it aimed at increasing the share of mixed stands and broadleaf species.Maximizing net present value(NPV) with a 1 % discount rate led to better social performance than maximizing NPV with a 4% discount rate.展开更多
The Global Entrepreneurship and Development Institute annually publishes the Global Entrepreneurship Index(GEI)to show entrepreneurship of each country/area.The GEI is obtained by averaging the scores of three sub-ind...The Global Entrepreneurship and Development Institute annually publishes the Global Entrepreneurship Index(GEI)to show entrepreneurship of each country/area.The GEI is obtained by averaging the scores of three sub-indexes,entrepreneurial attitudes,entrepreneurial abilities and Entrepreneurial aspirations.However,this GEI construction method with equal weights for three subindexes may be controversial,since the relative importance among the three sub-indexes may vary across countries and areas due to economic and social/cultural reasons.This study comprehensively considers all possible weights,and formulates an interval entrepreneurship evaluation matrix.Employing the Stochastic multicriteria acceptability analysis,the authors build an improved GEI,which the authors term the Holistic Acceptability Global Entrepreneurship Index.This method differs from the conventional wisdom that assigns exact values to corresponding weights,but explores a weight space considering all possible weight sets.Finally,the proposed method is confirmed using an empirical study measuring and comparing the entrepreneurship of the top 20 countries and areas in terms of 2017 GEI.展开更多
文摘作为模糊语言集的一种,概率语言集能够反映决策问题中评价准则权重重要程度及其概率,这在决策问题中较为实用。本文运用实验设计(Design of Experiment,DOE)的方法,对权重信息以概率语言给出的多准则决策问题进行研究:通过多次模拟权重重要程度及其概率,设计出多组实验权重,并用GRA法求得每组实验数据的得分,获得描述该决策问题准则值与评价结果相互影响关系的最适用回归方程,将决策问题的实际数据带入方程进行运算,得出方案排序结果。通过快速成型过程、柔性制造系统过程两个案例,进行对比验证。结果表明所提出的方法能较好地处理基于概率语言权重信息的多准则决策问题,计算简单且速度快,可重复性强且颇为实用。
文摘Forests produce several types of benefits to both forest landowners and society.The social benefit of private forestry is equal to private benefit plus positive externalities minus negative externalities.This study developed alternative metrics for the evaluation of the social benefit of forest management.Forest management was assessed in terms of five criteria:economic,socio-cultural,environmental and ecological performance and the resilience of the forest ecosystem.Each criterion was described with three numerical indicators.Alternative performance indices were calculated from the indicator values using methods developed for multi-criteria decision making.It was concluded that indices based on the multiplicative Cobb-Douglas utility function might be the most recommendable when forestry should produce a balanced combination of different ecosystem services.When the indices were used to compare alternative silvicultural systems in terms of their social performance,continuous cover management was ranked better than even-aged management.The performance of even-aged management improved when it aimed at increasing the share of mixed stands and broadleaf species.Maximizing net present value(NPV) with a 1 % discount rate led to better social performance than maximizing NPV with a 4% discount rate.
基金the National Natural Science Foundation of China under Grant No.71602089the National Natural Science Foundation of Jiangsu Province under Grant No.BK20160785Fundamental Research Fund under Grant No.NR2019015。
文摘The Global Entrepreneurship and Development Institute annually publishes the Global Entrepreneurship Index(GEI)to show entrepreneurship of each country/area.The GEI is obtained by averaging the scores of three sub-indexes,entrepreneurial attitudes,entrepreneurial abilities and Entrepreneurial aspirations.However,this GEI construction method with equal weights for three subindexes may be controversial,since the relative importance among the three sub-indexes may vary across countries and areas due to economic and social/cultural reasons.This study comprehensively considers all possible weights,and formulates an interval entrepreneurship evaluation matrix.Employing the Stochastic multicriteria acceptability analysis,the authors build an improved GEI,which the authors term the Holistic Acceptability Global Entrepreneurship Index.This method differs from the conventional wisdom that assigns exact values to corresponding weights,but explores a weight space considering all possible weight sets.Finally,the proposed method is confirmed using an empirical study measuring and comparing the entrepreneurship of the top 20 countries and areas in terms of 2017 GEI.