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| Author: | Greco, S. Matarazzo, B. Slowinski, R. |
| Title: | Rough sets theory for multicriteria decision analysis |
| Journal: | European Journal of Operational Research
2001 : FEB 16, VOL. 129:1, p. 1-47 |
| Index terms: | DECISION ANALYSIS COMPANY RANKING DECISION RULES CONJOINT ANALYSIS |
| Language: | eng |
| Abstract: | The original rough set approach proved to be very useful in dealing with inconsistency problems following from information granulation. It operates on a data table composed of a set U of objects (actions) described by a set Q of attributes. Its basic notions are: indiscernibility relation on U, lower and upper approximation of either a subset or a partition of U, dependence and reduction of attributes from Q, and decision rules derived from lower approximations and boundaries of subsets identified with decision classes. The original rough set idea is failing, however, when preference-orders of attribute domains (criteria) are to be taken into account. |
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