本文从经济欠发达地区实际出发,以甘肃省为例,根据投入产出法、熵值法和D E A法的相关原理,建立了"主导产业选择"的模型化体系,以投入产出表的数据为依据,对甘肃省42个产业部门进行了综合评价和效率评价,在此基础上按照综合...本文从经济欠发达地区实际出发,以甘肃省为例,根据投入产出法、熵值法和D E A法的相关原理,建立了"主导产业选择"的模型化体系,以投入产出表的数据为依据,对甘肃省42个产业部门进行了综合评价和效率评价,在此基础上按照综合评价为主,效率评价为辅的决策原则,分三个层次确立了甘肃省现阶段的主导产业,并结合甘肃实际对所确立主导产业的未来发展方向和工作重点提出了对策建议。展开更多
An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory.Considering the geologic conditions,technology,economy and safety production,ten main f...An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory.Considering the geologic conditions,technology,economy and safety production,ten main factors influencing the selection of mining method were taken into account,and the comprehensive evaluation index system of mining method selection was constructed.The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively.New measurement standards were constructed.Then,the unascertained measurement function of each evaluation index was established.The index weights of the factors were calculated by entropy theory,and credible degree recognition criteria were established according to the unascertained measurement theory.The results of mining method evaluation were obtained using the credible degree criteria,thus the best underground mining method was determined.Furthermore,this model was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao of China.The results show that the relative superiority degrees of mining methods can be calculated using the unascertained measurement optimization model,so the optimal method can be easily determined.Meanwhile,the proposed method can take into account large amount of uncertain information in mining method selection,which can provide an effective way for selecting the optimal underground mining method.展开更多
Aiming at the decision-making problem of construction programme choice,this paper advanced a new group expandable optimization decision-making model.Various factors were comprehensively considered,and the new multi-at...Aiming at the decision-making problem of construction programme choice,this paper advanced a new group expandable optimization decision-making model.Various factors were comprehensively considered,and the new multi-attribute evaluation index system was established.Based on the assumption that decision-makers were rational,this paper formed a group of rational preferences through extracting the personal preferences pertinently,so the decision-makers position matrix was determined.The decision-makers position matrix integrated values given by group decision-makers to construction programme comprised a matrix,of which the entropy theory for datamining was adopted in this paper to determine the attribute weights.A decision was made by using the extension decision method.Eventually,the feasibility and practicability of the model were verified by the example.展开更多
The rise and development of strategic emerging industries need a new innovative mode--collaborative innovation, collaborative innovation as a complex multi-object relationship, it is essential to select an appropriate...The rise and development of strategic emerging industries need a new innovative mode--collaborative innovation, collaborative innovation as a complex multi-object relationship, it is essential to select an appropriate partner. Partner selection is the key to the success of strategic emerging industry collaborative innovation. This paper takes collaborative innovation partner selection as research focus, establishing evaluation system of collaborative innovation partner selection, using analytic network process （ANP） to determine the weight of evaluation index, then, obtaining grey correlation rank of collaborative innovation partner by Grey relational analysis （GILA）, providing the basis for strategic emerging industry to select collaborative innovation partner.展开更多
文摘本文从经济欠发达地区实际出发,以甘肃省为例,根据投入产出法、熵值法和D E A法的相关原理,建立了"主导产业选择"的模型化体系,以投入产出表的数据为依据,对甘肃省42个产业部门进行了综合评价和效率评价,在此基础上按照综合评价为主,效率评价为辅的决策原则,分三个层次确立了甘肃省现阶段的主导产业,并结合甘肃实际对所确立主导产业的未来发展方向和工作重点提出了对策建议。
基金Project(2007CB209402) supported by the National Basic Research Program of China Project(SKLGDUEK0906) supported by the Research Fund of State Key Laboratory for Geomechanics and Deep Underground Engineering of China
文摘An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory.Considering the geologic conditions,technology,economy and safety production,ten main factors influencing the selection of mining method were taken into account,and the comprehensive evaluation index system of mining method selection was constructed.The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively.New measurement standards were constructed.Then,the unascertained measurement function of each evaluation index was established.The index weights of the factors were calculated by entropy theory,and credible degree recognition criteria were established according to the unascertained measurement theory.The results of mining method evaluation were obtained using the credible degree criteria,thus the best underground mining method was determined.Furthermore,this model was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao of China.The results show that the relative superiority degrees of mining methods can be calculated using the unascertained measurement optimization model,so the optimal method can be easily determined.Meanwhile,the proposed method can take into account large amount of uncertain information in mining method selection,which can provide an effective way for selecting the optimal underground mining method.
基金Project of Hunan Fund in Social Science (No.11YBB060)
文摘Aiming at the decision-making problem of construction programme choice,this paper advanced a new group expandable optimization decision-making model.Various factors were comprehensively considered,and the new multi-attribute evaluation index system was established.Based on the assumption that decision-makers were rational,this paper formed a group of rational preferences through extracting the personal preferences pertinently,so the decision-makers position matrix was determined.The decision-makers position matrix integrated values given by group decision-makers to construction programme comprised a matrix,of which the entropy theory for datamining was adopted in this paper to determine the attribute weights.A decision was made by using the extension decision method.Eventually,the feasibility and practicability of the model were verified by the example.
文摘The rise and development of strategic emerging industries need a new innovative mode--collaborative innovation, collaborative innovation as a complex multi-object relationship, it is essential to select an appropriate partner. Partner selection is the key to the success of strategic emerging industry collaborative innovation. This paper takes collaborative innovation partner selection as research focus, establishing evaluation system of collaborative innovation partner selection, using analytic network process （ANP） to determine the weight of evaluation index, then, obtaining grey correlation rank of collaborative innovation partner by Grey relational analysis （GILA）, providing the basis for strategic emerging industry to select collaborative innovation partner.
