Comparative analysis of targeted metabolomics: Dominance-based rough set approach versus orthogonal partial least square-discriminant analysis

Partial Least Square Discriminant Analysis for bankruptcy prediction

Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial

Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation concerning a set of objects (called also alternatives, solutions, acts, actions, cases, candidates) evaluated from the point of view of a plurality of their characteristics considered relevant for the problem at hand, and called attributes. For example, a decision can regard: 1) diagnosis of patholo...

Dominance-based Rough Set Approach Data Analysis Framework

Fuzzy Set Extensions of the Dominance-Based Rough Set Approach

Rough set theory has been proposed by Pawlak in the early 80s to deal with inconsistency problems following from information granulation. It operates on an information table composed of a set U of objects described by a set Q of condition and decision attributes. Decision attributes make a partition of U into decision classes. Basic concepts of rough set theory are: indiscernibility relation on...

Dominance-based Rough Set Analysis for Uncertain Data Tables

In this paper, we propose a dominance-based rough set approach for the decision analysis of a preference-ordered uncertain data table, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express preference scales. In the proposed approach, we first compute the degree of dominance between any two object...