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

Learn More →

Partnership Selection Involving Mixed Types of Uncertain Preferences

Partnership Selection Involving Mixed Types of Uncertain Preferences Partnership selection is an important issue in management science. This study proposes a general model based on mixed integer programming and goal-programming analytic hierarchy process (GP-AHP) to solve partnership selection problems involving mixed types of uncertain or inconsistent preferences. The proposed approach is designed to deal with crisp, interval, step, fuzzy, or mixed comparison preferences, derive crisp priorities, and improve multiple solution problems. The degree of fulfillment of a decision maker’s preferences is also taken into account. The results show that the proposed approach keeps more solution ratios within the given preferred intervals and yields less deviation. In addition, the proposed approach can treat incomplete preference matrices with flexibility in reducing the number of pairwise comparisons required and can also be conveniently developed into a decision support system. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Operations Research Hindawi Publishing Corporation

Partnership Selection Involving Mixed Types of Uncertain Preferences

Advances in Operations Research , Volume 2013 (2013) – Jun 27, 2013

Loading next page...
 
/lp/hindawi-publishing-corporation/partnership-selection-involving-mixed-types-of-uncertain-preferences-TYGDjD2cPl

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Hindawi Publishing Corporation
Copyright
Copyright © 2013 Li-Ching Ma.
ISSN
1687-9147
eISSN
1687-9155
Publisher site
See Article on Publisher Site

Abstract

Partnership selection is an important issue in management science. This study proposes a general model based on mixed integer programming and goal-programming analytic hierarchy process (GP-AHP) to solve partnership selection problems involving mixed types of uncertain or inconsistent preferences. The proposed approach is designed to deal with crisp, interval, step, fuzzy, or mixed comparison preferences, derive crisp priorities, and improve multiple solution problems. The degree of fulfillment of a decision maker’s preferences is also taken into account. The results show that the proposed approach keeps more solution ratios within the given preferred intervals and yields less deviation. In addition, the proposed approach can treat incomplete preference matrices with flexibility in reducing the number of pairwise comparisons required and can also be conveniently developed into a decision support system.

Journal

Advances in Operations ResearchHindawi Publishing Corporation

Published: Jun 27, 2013

There are no references for this article.