|
Title:
|
INTELLIGENT DATA ANALYSIS USING MULTIPLE CRITERIA DECISION MAKING |
|
Author(s):
|
Crina Grosan , Ajith Abraham |
|
ISBN:
|
978-972-8924-40-9 |
|
Editors:
|
Jörg Roth, Jairo Gutiérrez and Ajith P. Abraham (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
|
Year:
|
2007 |
|
Edition:
|
Single |
|
Type:
|
Full Paper |
|
First Page:
|
89 |
|
Last Page:
|
94 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Multiple Criteria Decision Making or multi-attribute (MCDM) problems refer to performing preference decisions (e.g.
ranking, ordering, prioritization, selection) over several available alternatives or objects that are characterized by
multiple, usually conflicting, attributes or criteria. MCDM techniques have been and are still being encountered in a wide
range of human activities, from the professional choices to managerial decisions. The typical examples arise from project
management, facility location, capital budgeting, and, last but not least, ranking and evaluating in medical field (medical
treatments, risk factors for a disease, diseases, medical units, etc.). The goal of this paper is to present some methods in
this area which could be useful for medical applications as well as to describe an evolutionary MCDM model for ranking
the risk factors for Bronchial asthma. |
|
|
|
|
|
|
