Based on the characteristics of make-to-order manufacturing, risks in enterprises are analyzed, which are encountered when receiving orders. Dividing the whole process into three stages, this paper provides a qualitat...Based on the characteristics of make-to-order manufacturing, risks in enterprises are analyzed, which are encountered when receiving orders. Dividing the whole process into three stages, this paper provides a qualitative explanation of the risky factors, failure rate, risk level and changes of each stage, and then provides a mathematic model of quantitative analysis by using fuzzy sets and an analytical hierarchy process. In the light of the relationship among the three stages, a formula for calculating risk levels of orders is worked out. Meanwhile, both economic and non-economic losses due to an order failure are considered in the assessment system. An actual case is analyzed using the described method. Suggestions for risk prevention or loss reduction are given.展开更多
针对武器装备体系能力需求分析问题,提出基于犹豫模糊环境下的决策实验室分析法(Decision-making Trial and Evaluation Laboratory,DEMATEL)和逼近理想解排序法改进质量功能展开(Quality Function Deployment,QFD)的新方法。利用基于...针对武器装备体系能力需求分析问题,提出基于犹豫模糊环境下的决策实验室分析法(Decision-making Trial and Evaluation Laboratory,DEMATEL)和逼近理想解排序法改进质量功能展开(Quality Function Deployment,QFD)的新方法。利用基于犹豫模糊理论的DEMATEL方法分析装备体系任务需求之间的影响关系,以确定任务需求重要度;根据装备体系任务需求重要度,建立基于犹豫模糊TOPSIS的装备能力需求优选模型,并通过改进的加权汉明距离计算装备能力需求的相对重要性,以智能城市作战装备体系为例,对比传统方法验证了改进QFD方法的有效性。研究结果表明,改进方法较好地解决了传统QFD在处理犹豫模糊信息时的缺陷,可为装备体系能力需求分析提供新的工具支持。展开更多
Multiattribute decision making（MADM） problems, in which the weights and ratings of alternatives are expressed with intuitionistic fuzzy（IF） sets, are investigated.Firstly, the relative degrees of membership and th...Multiattribute decision making（MADM） problems, in which the weights and ratings of alternatives are expressed with intuitionistic fuzzy（IF） sets, are investigated.Firstly, the relative degrees of membership and the relative degrees of non-membership are formulated as IF sets, the weights and values of alternatives on both qualitative and quantitative attributes may be expressed as IF sets in a unified way.Then a MADM method based on generalized ordered weighted averaging operators is proposed.The proposed method is illustrated with a numerical example.展开更多
The problem of fusing multiagent preference orderings, with information on agent＇s importance being incomplete certain with respect to a set of possible courses of action, is described. The approach is developed for ...The problem of fusing multiagent preference orderings, with information on agent＇s importance being incomplete certain with respect to a set of possible courses of action, is described. The approach is developed for dealing with the fusion problem described in the following sections and requires that each agent provides a preference ordering over the different alternatives completely independent of the other agents, and the information on agent＇s importance is incomplete certain. In this approach, the ternary comparison matrix of the alternatives is constructed, the eigenvector associated with the maximum eigenvalue of the ternary comparison matrix is attained so as to normalize priority vector of the alternatives. The interval number of the alternatives is then obtained by solving two sorts of linear programming problems. By comparing the interval numbers of the alternatives, the ranking of alternatives can be generated. Finally, some examples are given to show the feasibility and effectiveness of the method.展开更多
文摘Based on the characteristics of make-to-order manufacturing, risks in enterprises are analyzed, which are encountered when receiving orders. Dividing the whole process into three stages, this paper provides a qualitative explanation of the risky factors, failure rate, risk level and changes of each stage, and then provides a mathematic model of quantitative analysis by using fuzzy sets and an analytical hierarchy process. In the light of the relationship among the three stages, a formula for calculating risk levels of orders is worked out. Meanwhile, both economic and non-economic losses due to an order failure are considered in the assessment system. An actual case is analyzed using the described method. Suggestions for risk prevention or loss reduction are given.
文摘针对武器装备体系能力需求分析问题,提出基于犹豫模糊环境下的决策实验室分析法(Decision-making Trial and Evaluation Laboratory,DEMATEL)和逼近理想解排序法改进质量功能展开(Quality Function Deployment,QFD)的新方法。利用基于犹豫模糊理论的DEMATEL方法分析装备体系任务需求之间的影响关系,以确定任务需求重要度;根据装备体系任务需求重要度,建立基于犹豫模糊TOPSIS的装备能力需求优选模型,并通过改进的加权汉明距离计算装备能力需求的相对重要性,以智能城市作战装备体系为例,对比传统方法验证了改进QFD方法的有效性。研究结果表明,改进方法较好地解决了传统QFD在处理犹豫模糊信息时的缺陷,可为装备体系能力需求分析提供新的工具支持。
基金supported by the National Natural Science Foundation of China (70871117 70571086)
文摘Multiattribute decision making（MADM） problems, in which the weights and ratings of alternatives are expressed with intuitionistic fuzzy（IF） sets, are investigated.Firstly, the relative degrees of membership and the relative degrees of non-membership are formulated as IF sets, the weights and values of alternatives on both qualitative and quantitative attributes may be expressed as IF sets in a unified way.Then a MADM method based on generalized ordered weighted averaging operators is proposed.The proposed method is illustrated with a numerical example.
基金This project was supported by the National Natural Science Foundation of China(70631004).
文摘The problem of fusing multiagent preference orderings, with information on agent＇s importance being incomplete certain with respect to a set of possible courses of action, is described. The approach is developed for dealing with the fusion problem described in the following sections and requires that each agent provides a preference ordering over the different alternatives completely independent of the other agents, and the information on agent＇s importance is incomplete certain. In this approach, the ternary comparison matrix of the alternatives is constructed, the eigenvector associated with the maximum eigenvalue of the ternary comparison matrix is attained so as to normalize priority vector of the alternatives. The interval number of the alternatives is then obtained by solving two sorts of linear programming problems. By comparing the interval numbers of the alternatives, the ranking of alternatives can be generated. Finally, some examples are given to show the feasibility and effectiveness of the method.
