The idea of testing and evaluating the csi in the p-m fuzzy measure space is realized by the matlab 并利用matlab技术,实现了在p一m模糊测度空间中进行csi测评的构思。
In this article we construct extended fuzzy measure on fuzzy intervals, fuzzy numbers and cartesian product of fuzzy intervals and derive fuzzy measure space 摘要本论文建构在模糊区间,模糊数和模糊区间的卡氏积上的扩张模糊测度并推导出模糊测度空间。
Based on this, this article joint the mts ( maharanobis taguchi system ) which is the lasted result of the quality engineering to the pls from quality engineering, and put forward the theory of testing and evaluating the csi in the p-m fuzzy measure space creatively 在此基础上,本文首次从质量工程学的角度,将质量工程学的最新研究成果马田系统(mts原理)(maharanobistaguchisystem)与pls方法相结合,创造性地提出:p?m模糊测度空间的原理。
So-called the p-m fuzzy measure space is the standard fuzzy space of testing and evaluating customer satisfaction index which solute the multicollinearity and conform the effective index in consisting of the system of csi by the pls, and then affirm the origin and the estimate radius of the benchmark space in the standard fuzzy csi space by the mts 摘要所谓p一m模糊测度空间就是指利用pls方法,解决cs工测评体系构建过程中的变量之间的多重相关性,科学的确定csi模糊测度空间中的有效指标,进而再通过mts方法确定标准态cs工模糊测度空间中基准空间的原点和判断半径,以此构成标准态cs工的模糊测度空间。
Finally we design a project of testing and evaluating csi and demonstrate by the method of the hiberarchy, the fornell method and the p-m fuzzy measure method, contrast these methods, the scientific character of the p-m fuzzy measure method is tested, and we can conclude that the testing and evaluating the csi in the p-m fuzzy measure space will reinforce the flexility of the measure system, realize the feedback mechanism of the testing and evaluating system of csi, and the integrality of the testing system is improved 最后通过对一个具体的csi评价项目的设计,分别用层次法、fornen方法和尸一m模糊测度方法进行实证研究,通过这几种方法的对比分析,我们在实践中检验了p一-m模糊测度原理的科学性,得出了在p一m模糊测度空间中进行cs工测评,将会增强系统的测度柔性,实现了cs工测评系统的反馈机制,提高了测评系统的完备性的结论。