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The gray Verhulst model has the extremely widespread application in the study of minority, poor information and uncertainty question when the data show saturated state or s-shaped sequences. However the gray Verhulst model built by weakening the randomness of data sequence, lacking of self-organizing and self-learning. Some scholars study on this issue, and put forward a kind of gray Verhulst-BPNN...
Shortening waiting times is the most obvious and effective method of increasing service quality. As the workforce is limited, it is necessary to reform current systems of medical care and improve the efficiency of medical care. After process reengineering was proposed in 1990s, however, this concept has not yet been commonly applied to medical centers. The subject of this study was an outpatient pharmacy...
Calculating the core of a decision information system is the start of information reduction and a key step of decision rule making. In this paper, we analyze essential characters of core attributes of decision information system according to rough set theory. Then researching the relationship between discernibility matrix' single attribute element and a core attribute. As algorithms, which were given...
This paper proposes a new algorithm for filling the missing values in the incomplete decision table based on extended models of rough sets theory with respect to limited tolerance relation. The algorithm can have the consistence of completed decision table by way of computing the similar degree between objects and limited tolerance relation. It is improvement of ROUSTIDA algorithm, and the experiment...
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