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
为全面评价智能配电网建设和发展的水平,在分析智能配电网特点的基础上,综合考虑配电网智能化实际建设的各个层次及其关键要素,将其建设和管理定义为由基础设施层、测控网络层、管理层和效果层组成的4层次系统,并基于这样的层次划分,构...为全面评价智能配电网建设和发展的水平,在分析智能配电网特点的基础上,综合考虑配电网智能化实际建设的各个层次及其关键要素,将其建设和管理定义为由基础设施层、测控网络层、管理层和效果层组成的4层次系统,并基于这样的层次划分,构建了智能配电网层次化综合评价指标体系及各层评价指标集。同时,针对该评价指标体系,提出了适用于单目标评价的改进序关系分析法(G1法)与优劣解距离法(technique for order preference by similarity to an ideal solution,TOPSIS)相结合的综合评价方法。该方法运用改进G1法确定权重,并对TOPSIS评价方法进行改进,使评价结果更加精确。最后,将所提方法应用于某地智能配电网评价,结果表明,该指标体系及评价方法可以为智能配电网的建设和改善运行提供依据,从而服务于智能配电网的精细化管理。展开更多
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.
文摘为全面评价智能配电网建设和发展的水平,在分析智能配电网特点的基础上,综合考虑配电网智能化实际建设的各个层次及其关键要素,将其建设和管理定义为由基础设施层、测控网络层、管理层和效果层组成的4层次系统,并基于这样的层次划分,构建了智能配电网层次化综合评价指标体系及各层评价指标集。同时,针对该评价指标体系,提出了适用于单目标评价的改进序关系分析法(G1法)与优劣解距离法(technique for order preference by similarity to an ideal solution,TOPSIS)相结合的综合评价方法。该方法运用改进G1法确定权重,并对TOPSIS评价方法进行改进,使评价结果更加精确。最后,将所提方法应用于某地智能配电网评价,结果表明,该指标体系及评价方法可以为智能配电网的建设和改善运行提供依据,从而服务于智能配电网的精细化管理。
