Partnership Selection Involving Mixed Types of Uncertain Preferences. (27th June 2013)
- Record Type:
- Journal Article
- Title:
- Partnership Selection Involving Mixed Types of Uncertain Preferences. (27th June 2013)
- Main Title:
- Partnership Selection Involving Mixed Types of Uncertain Preferences
- Authors:
- Ma, Li-Ching
- Other Names:
- Romero Carlos Academic Editor.
- Abstract:
- 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.
- Is Part Of:
- Advances in operations research. Volume 2013(2013)
- Journal:
- Advances in operations research
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-06-27
- Subjects:
- Operations research -- Periodicals
Operations research
Periodicals
003 - Journal URLs:
- https://www.hindawi.com/journals/aor/ ↗
http://bibpurl.oclc.org/web/44187 ↗ - DOI:
- 10.1155/2013/323468 ↗
- Languages:
- English
- ISSNs:
- 1687-9147
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17142.xml