为了实现对电能质量的精细化评估,提出一种G1-改进拉开档次法(improved scatter degree,ISD)赋权和灰色关联理想解法(grey correlation technique for order preference by similarity to an ideal solution,GC-TOPSIS)分级相结合的电...为了实现对电能质量的精细化评估,提出一种G1-改进拉开档次法(improved scatter degree,ISD)赋权和灰色关联理想解法(grey correlation technique for order preference by similarity to an ideal solution,GC-TOPSIS)分级相结合的电能质量综合评估方法。首先,选取电能质量指标;然后,利用G1法计算电能质量各指标的主观权重,ISD法计算电能质量各指标的客观权重,并且基于最小二乘法构建主客观组合赋权模型,使用拉格朗日算法对组合权重进行求解实现权重的主客观统一;最后,将灰色关联理论引入TOPSIS法中,建立基于新的贴近度指标的电能质量综合评估模型,据此对各监测点的电能质量等级进行排序。算例结果表明所提方法使评估结果更加细致、可靠。展开更多
The current popular methods for decision making and project optimisation in mine ventilation contain a number of deficiencies as they are solely based on either subjective knowledge or objective information.This paper...The current popular methods for decision making and project optimisation in mine ventilation contain a number of deficiencies as they are solely based on either subjective knowledge or objective information.This paper presents a new approach to rank the alternatives by G1-coefficient of variation method.The focus of this approach is the use of the combination weighing,which is able to compensate for the deficiencies in the method of evaluation index single weighing.In the case study,an appropriate evaluation index system was established to determine the evaluation value of each ventilation mode.Then the proposed approach was used to select the best development face ventilation mode.The result shows that the proposed approach is able to rank the alternative development face ventilation mode reasonably,the combination weighing method had the advantages of both subjective and objective weighing methods in that it took into consideration of both the experience and wisdom of experts,and the new changes in objective conditions.This approach provides a more reasonable and reliable procedure to analyse and evaluate different ventilation modes.展开更多
文摘为了实现对电能质量的精细化评估,提出一种G1-改进拉开档次法(improved scatter degree,ISD)赋权和灰色关联理想解法(grey correlation technique for order preference by similarity to an ideal solution,GC-TOPSIS)分级相结合的电能质量综合评估方法。首先,选取电能质量指标;然后,利用G1法计算电能质量各指标的主观权重,ISD法计算电能质量各指标的客观权重,并且基于最小二乘法构建主客观组合赋权模型,使用拉格朗日算法对组合权重进行求解实现权重的主客观统一;最后,将灰色关联理论引入TOPSIS法中,建立基于新的贴近度指标的电能质量综合评估模型,据此对各监测点的电能质量等级进行排序。算例结果表明所提方法使评估结果更加细致、可靠。
基金Projects(51504286,51374242)supported by the National Natural Science Foundation of ChinaProject(2015M572270)supported by China Postdoctoral Science FoundationProject(2015RS4004)supported by the Science and Technology Plan of Hunan Province,China
文摘The current popular methods for decision making and project optimisation in mine ventilation contain a number of deficiencies as they are solely based on either subjective knowledge or objective information.This paper presents a new approach to rank the alternatives by G1-coefficient of variation method.The focus of this approach is the use of the combination weighing,which is able to compensate for the deficiencies in the method of evaluation index single weighing.In the case study,an appropriate evaluation index system was established to determine the evaluation value of each ventilation mode.Then the proposed approach was used to select the best development face ventilation mode.The result shows that the proposed approach is able to rank the alternative development face ventilation mode reasonably,the combination weighing method had the advantages of both subjective and objective weighing methods in that it took into consideration of both the experience and wisdom of experts,and the new changes in objective conditions.This approach provides a more reasonable and reliable procedure to analyse and evaluate different ventilation modes.
