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The dominance-based rough set approach (DRSA) takes dominating sets or dominated sets as basic knowledge granules to define lower and upper approximations in an ordered decision information system. The DRSA can cope with inconsistency and draw “at least” decision rules (or “at most” decision rules). By these rules, an object can be assigned to classes not worse (or not better) than a specific decision...
In the given paper the estimation of reliability of a decision, made in accordance with results of statistical simulation, on that a rule of signals recognition at a given sample size provides us with the smaller probability of an error of recognition then the other do has been carried out.
In this paper, for the multi-attribute decision making problems with incomplete information, a new approach is proposed based on the Dempster-Shafer theory, which has simple decision rule and could solve a problem directly based on its incomplete decision matrix. First identify all possible focal elements from the incomplete decision matrix, and then calculate the basic probability assignment of each...
Attribute reduction and decision rules are the key questions of rough set theory. Rough sets has developed to quite a matured level in a single universe of research, however, there are nearly no researches about rough set theory of dual-universe based on multiple information system. In response to this, this paper puts forward reduction methods of rough sets based on dual-universe, decision rules...
The research investigated the rules relevant with leaving reasons and personal characteristic variables of nursing staff by rough set theory (RST). RST can discover the important facts hidden in the data and describe them with natural language. That is it can describe the information provided by researchers in a broad sense and delete the redundant part of original data for the decision rules setting...
In order to find rules of disaster weather from the history data and provide some support for the weather forecast, rough set theory was introduced into the field and a weather data model based on it was built. The model included the processes of data discretization, attributes reduction and rules extracting. For the rules extracting a new method based on discriminated matrix was proposed. The method...
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