Dominance-based rough set approach for decision analysis: a tutorial

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

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 wiht respect to a plurality of their characteristics considered relevant for the problem at hand, and called attributes. For example, a decision can regard: 1. diagnosis of pathologies for a set of patients, being the objects of the decision, and the attributes are symptoms and results of medical examinations, 2. assignment to classes of risk for a set of firms, being the objects of the decision, and the attributes are ratio indices and other economic indicators such as the market structure, the technology used by the enterprises, the quality of the management and so on, 3. selection of a car to be bought from a given set of cars, being the objects of the decision, and the attributes are maximum speed, acceleration, price, fuel consumption and so on, 4. ordering of students applying for a scholarship, being the objects of the decision, and the attributes are scores in different disciplines.
Original languageEnglish
Title of host publicationRough sets and knowledge technology: proceedings of the third international conference
EditorsG. Wang, T. Li, J. Grzymala-Busse, D. Miao, A. Skowron, Y. Yao
Place of PublicationBerlin
PublisherSpringer
Pages23-24
Number of pages2
Volume5009
Edition5009
ISBN (Print)9783540797203
DOIs
Publication statusPublished - 2008

Publication series

NameLecture notes in computer science
PublisherSpringer
Number5009

Fingerprint

Dive into the research topics of 'Dominance-based rough set approach for decision analysis: a tutorial'. Together they form a unique fingerprint.

Cite this