In an ambiguous decision domain, the evaluation values of alternatives against attributes would be interval numbers because of the inherent, uncertain property of the problems. By using a number of linear programming ...In an ambiguous decision domain, the evaluation values of alternatives against attributes would be interval numbers because of the inherent, uncertain property of the problems. By using a number of linear programming models, Bryson and Mobolurin propose an approach to compute attribute weights and overall values of the alternatives in the form of interval numbers. The intervals of the overall values of alternatives are then transformed into points or crisp values for comparisons among the alternatives. However, the attribute weights are different because of the use of linear programming models in Bryson and Mobolurin's approach. Thus, the alternatives are not comparable because different attribute weights are employed to calculate the overall values of the alternatives. A new approach is proposed to overcome the drawbacks of Bryson and Mobolurin's approach. By transforming the decision matrix with intervals into the one with crisp values, a new linear programming model is proposed, to calculate the attribute weights for conducting alternative ranking.展开更多
Because of the incompleteness and uncertainty in the information on overseas oil-gas projects, project evaluation needs models able to deal with such problems. A new model is, therefore, presented in this paper based ...Because of the incompleteness and uncertainty in the information on overseas oil-gas projects, project evaluation needs models able to deal with such problems. A new model is, therefore, presented in this paper based on interval multi-attribute decision-making theory. Analysis was made on the important attributes (index) and the re- lationships affecting the basic factors to the project eco- nomic results were described. The interval numbers are used to describe the information on overseas oil and gas projects. On these bases, an improved TOPSIS model is introduced for the evaluation and ranking of overseas oil and gas projects. The practical application of the new model was carried out for an oil company in selecting some promising blocks from 13 oil and gas blocks in eight dif- ferent countries in the Middle East. Based on these inno- vative studies, some conclusions are given from theoretical and application aspects. The practical application shows that the introduction of interval numbers into the evaluation and ranking of the overseas oil and gas projects can lead to more reasonable decisions. The users can do the project evaluation based on the comprehensive values as well as based on some preferred index in the project evaluation and ranking.展开更多
As a high-energy-consumption and high-CO2-emission industry in China,the transportation sector has been under increasing pressure to improve its performance.This paper develops a novel parallel DEA approach to measure...As a high-energy-consumption and high-CO2-emission industry in China,the transportation sector has been under increasing pressure to improve its performance.This paper develops a novel parallel DEA approach to measure Chinese transportation sector's energy and environmental performance (EEP) over all possible weights,which is to avoid the risk of using the extreme or the most favorable weights in performance evaluation.In our method,the transportation sector is consisted of two parallel subsystems (passenger transportation and freight transportation) with shared inputs and undesirable shared outputs.All possible weights are considered in the EEP evaluation,then the EEP of a transportation sector is represented by a ranking interval.Finally,the proposed approach is applied to the transportation sectors in 30 Chinese provinces.Results show that the best and the worst ranking of most provinces vary greatly.Besides,the EEP of most provinces is hard to dominate others strictly,but the general tendency is the EEP of eastern provinces better than western provinces.Furthermore,the EEP difference of some adjacent provinces with similar features is distinct.These findings are not all the same as previous studies,which verifies the necessity of considering all possible weights in performance evaluation.Therefore,our method provides a new point of view in performance evaluation and can give more robust results for decision makers.展开更多
In view of the uncertainty of the monitored performance parameters of aeroengines, the fluctuating scope of the monitored infurmation during a period is taken as interval numbers, and the interval multi-attribute deci...In view of the uncertainty of the monitored performance parameters of aeroengines, the fluctuating scope of the monitored infurmation during a period is taken as interval numbers, and the interval multi-attribute decision-making method is employed to predict the performance of aeroengine, The synthetic weights of interval numbers are obtained by calculating deviation degree and possibility degree. As an example of application, 5 performance parameters monitored on 10 CF6 aeroengines of China Eastern Airlines Co., Ltd are adopted as decision attributes to verify the algorithm. The obtained synthetic ranking result shows the effectiveness and rationality of the proposed method in reflecting the performance stares of aeroengins.展开更多
基金the National Natural Science Foundation of China (70571041).
文摘In an ambiguous decision domain, the evaluation values of alternatives against attributes would be interval numbers because of the inherent, uncertain property of the problems. By using a number of linear programming models, Bryson and Mobolurin propose an approach to compute attribute weights and overall values of the alternatives in the form of interval numbers. The intervals of the overall values of alternatives are then transformed into points or crisp values for comparisons among the alternatives. However, the attribute weights are different because of the use of linear programming models in Bryson and Mobolurin's approach. Thus, the alternatives are not comparable because different attribute weights are employed to calculate the overall values of the alternatives. A new approach is proposed to overcome the drawbacks of Bryson and Mobolurin's approach. By transforming the decision matrix with intervals into the one with crisp values, a new linear programming model is proposed, to calculate the attribute weights for conducting alternative ranking.
基金supported by the National Social Science Foundation key projects(13&ZD159,11&ZD164)
文摘Because of the incompleteness and uncertainty in the information on overseas oil-gas projects, project evaluation needs models able to deal with such problems. A new model is, therefore, presented in this paper based on interval multi-attribute decision-making theory. Analysis was made on the important attributes (index) and the re- lationships affecting the basic factors to the project eco- nomic results were described. The interval numbers are used to describe the information on overseas oil and gas projects. On these bases, an improved TOPSIS model is introduced for the evaluation and ranking of overseas oil and gas projects. The practical application of the new model was carried out for an oil company in selecting some promising blocks from 13 oil and gas blocks in eight dif- ferent countries in the Middle East. Based on these inno- vative studies, some conclusions are given from theoretical and application aspects. The practical application shows that the introduction of interval numbers into the evaluation and ranking of the overseas oil and gas projects can lead to more reasonable decisions. The users can do the project evaluation based on the comprehensive values as well as based on some preferred index in the project evaluation and ranking.
基金The authors would like to thank the anonymous reviews for their help to improve the quality of the paper. This research is supported by the National Natural Science Foundation of China under Grant Nos. 71801075, 71701060, 71904186,71871081 and 71828101, National Social Science Foundation of China under Grant No. 18ZDA064 and the Fundamental Research Funds for the Central Universities under Grant Nos. JZ2018HGBZ0174 and JS2017HGXJ0028.
文摘As a high-energy-consumption and high-CO2-emission industry in China,the transportation sector has been under increasing pressure to improve its performance.This paper develops a novel parallel DEA approach to measure Chinese transportation sector's energy and environmental performance (EEP) over all possible weights,which is to avoid the risk of using the extreme or the most favorable weights in performance evaluation.In our method,the transportation sector is consisted of two parallel subsystems (passenger transportation and freight transportation) with shared inputs and undesirable shared outputs.All possible weights are considered in the EEP evaluation,then the EEP of a transportation sector is represented by a ranking interval.Finally,the proposed approach is applied to the transportation sectors in 30 Chinese provinces.Results show that the best and the worst ranking of most provinces vary greatly.Besides,the EEP of most provinces is hard to dominate others strictly,but the general tendency is the EEP of eastern provinces better than western provinces.Furthermore,the EEP difference of some adjacent provinces with similar features is distinct.These findings are not all the same as previous studies,which verifies the necessity of considering all possible weights in performance evaluation.Therefore,our method provides a new point of view in performance evaluation and can give more robust results for decision makers.
文摘In view of the uncertainty of the monitored performance parameters of aeroengines, the fluctuating scope of the monitored infurmation during a period is taken as interval numbers, and the interval multi-attribute decision-making method is employed to predict the performance of aeroengine, The synthetic weights of interval numbers are obtained by calculating deviation degree and possibility degree. As an example of application, 5 performance parameters monitored on 10 CF6 aeroengines of China Eastern Airlines Co., Ltd are adopted as decision attributes to verify the algorithm. The obtained synthetic ranking result shows the effectiveness and rationality of the proposed method in reflecting the performance stares of aeroengins.