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Rough set theory can be regarded as a new mathematical tool for imperfect data analysis. It is widely applied in knowledge reduction and rule extraction. Bayesian model is defined as the relationship between nodes and the node probability distribution. Therefore, this paper proposes a solution for reasoning and diagnosis model by using the rough sets and the Bayesian network to estimate the subjective...
Our study is based on 20 direct stores of E-Life Mall in Kaohsiung City, Taiwan. After having interviews with 5 store managers of E-Life Mall, we come up with 3 input and 3 output efficiency indices, and apply Data Envelopment Analysis (DEA) to evaluate the performance efficiency of individual store, we also make use of Tobit regression analysis to investigate the effect of all input and output variables...
Weekly data of stocks from Jan. 2006 to Dec. 2007 was adopted in this experiment. The experiment is divided into two stages. The first stage is to adduce process capability indices (PCI) of quality management to develop a new performance appreciation method. Furthermore, investors can utilize CPL to realize individual stock performance rapidly and select the stocks that can achieve their investment...
It has been a crucial issue as how to make the optimal choice from various partner selection of knowledge alliance. In order to make the enterprise select knowledge alliance partners practically and reasonably, a grey optimal choice is put forward for virtual enterprise with multi-objects and multi-layers. This paper tries to construct a performance evaluation process. Firstly, the evaluated indictors...
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