Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Strategy for Using Multicriteria Analysis in Decision-MakingComparison of Different Models

A Strategy for Using Multicriteria Analysis in Decision-Making: Comparison of Different Models [Many methodologies have been proposed to help the decision-making process, as has been mentioned and illustrated in Chap. 3, where four different models were examined and examples and cases posed and solved, with indication of the pros and cons of each. However, no comparisons have been made between them, and this is the purpose of this chapter. Here the first table condenses information about technical characteristics of each methodology. A second one details main characteristics from the user point of view, and a third table briefly illustrates the successive steps to use each methodology. The chapter also enters in the domain of complex projects, considering size, interrelationships between alternatives and between criteria, thresholds, etc. Finally it goes through into commenting on the advantages of Linear Programming (LP) for solving complex situations. It is understood that there is no one methodology that is better than all others, however it is also believed that LP is probably the best suited to solve complex problems.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Strategy for Using Multicriteria Analysis in Decision-MakingComparison of Different Models

Download PDF
14 pages

Loading next page...
 
/lp/springer-journals/a-strategy-for-using-multicriteria-analysis-in-decision-making-E3aSSttiqD

References (6)

Publisher
Springer Netherlands
Copyright
© Springer Science+Business Media B.V. 2011
ISBN
978-94-007-1511-0
Pages
169 –182
DOI
10.1007/978-94-007-1512-7_7
Publisher site
See Chapter on Publisher Site

Abstract

[Many methodologies have been proposed to help the decision-making process, as has been mentioned and illustrated in Chap. 3, where four different models were examined and examples and cases posed and solved, with indication of the pros and cons of each. However, no comparisons have been made between them, and this is the purpose of this chapter. Here the first table condenses information about technical characteristics of each methodology. A second one details main characteristics from the user point of view, and a third table briefly illustrates the successive steps to use each methodology. The chapter also enters in the domain of complex projects, considering size, interrelationships between alternatives and between criteria, thresholds, etc. Finally it goes through into commenting on the advantages of Linear Programming (LP) for solving complex situations. It is understood that there is no one methodology that is better than all others, however it is also believed that LP is probably the best suited to solve complex problems.]

Published: Jun 14, 2011

Keywords: Comparison; Complexity; Classification; Integration

There are no references for this article.