Rough Sets And Decision Analysis

Rough Sets Theory in Decision Analysis

This paper presents a possibility of using of the rough sets theory for a reduction of attributes (criteria, data, information) of objects in multi-attributes decision analysis in a public administration system. It is investigated one natural dimension of reducing data which is to identify equivalence classes, i.e. objects that indiscernible using the available attributes, using approximation s...

Rough Sets and Decision Algorithms

Rough set based data analysis starts from a data table, called an information system. The information system contains data about objects of interest characterized in terms of some attributes. Often we distinguish in the inform* tion system condition and decision attributes. Such information system is called a decision table. The decision table describes decisions in terms of conditions that mus...

Rough sets and decision tables

Multigranulation decision-theoretic rough sets

Article history: Available online 23 March 2013

Invited Review Rough sets theory for multicriteria decision analysis

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 att...