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Train operation parameters were defined by using rough sets theory. The train operation decision table was established on the bases of the real-time data which was acquired from the actual train operation graphs in the train operation dispatching system. The information entropy theory was used in the process of analyzing each object of the decision table, and the function of each condition attribute...
In the design of high-speed railway's traction power supply system, the choice for exterior power supply concerns many factors, and is a multi-criterion decision problem. In this paper, the principle of analytic hierarchy process (AHP) based on rough set theory and group decision-making is presented. An index system of exterior power supply evaluation is then constructed. Through independent decision...
A system that aggregates case-based linguistic decision rules using a hybrid of the dominance-based rough set approach (DRSA) and the Dempster-Shafer (DS) theory of evidence is proposed for multiple criterion-multiple participant sorting. First, DRSA is employed to estimate decision makers' (DMs) preferences by deducing linguistic decision rules from representative case sets evaluated by different...
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing equivalence relations with dominance relation. However, crisp preference relations can not reflect the fuzziness in criteria. In this paper, we introduce the logsig function to extract fuzzy preference relations from samples...
The major role of Asset Management Corporation (AMC) is to purchase, manage and dispose of non-performing loans (NPLs) acquired from financial institutions. The company's operational goal is to preserve the asset value and maximize the recovery value. Asset management corporation (AMC) will adapt suitable measures to specific conditions in NPLs and collateral disposition. Those measures include sale,...
A rough analysis method based on extension of rough sets is proposed for handling multi-attribute decision making problems with preference and incomplete information. Firstly, the concept of generalized extended dominance relation is presented; secondly, the rough approximations of knowledge are obtained by generalized extended dominance relation and decision rules of classification are acquired;...
In containing order rough set methodology (CORS), ordered attribute `criterion' is introduced. Criterion is related semantically with decision attributes, which results in producing more rational and significant rules utilizing dominance relations. In this paper, some terminologies and properties on rules or rules set, such as robust, minimal, complete are discussed, the state of art in algorithms...
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