An approach to multiple attribute decision making based on preference information on alternatives
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Article number | 137 |
| Journal / Publication | Proceedings of the Hawaii International Conference on System Sciences |
| Publication status | Published - 2001 |
Conference
| Title | 34th Annual Hawaii International Conference on System Sciences |
|---|---|
| Place | United States |
| City | Maui, HI |
| Period | 3 - 6 January 2001 |
Link(s)
Abstract
This paper investigates the multiple attribute decision making (MADM) problems with preference information on alternatives. A new approach is proposed to solve the MADM problems, where multiple decision makers give their preference information on alternatives in different formats. To reflect decision makers' preference information, an optimization model is constructed to assess attribute weights and then to rank the alternatives or select the most desirable one. Finally, an example is used to illustrate the proposed approach.
Research Area(s)
- Fuzzy preference information, Multiple attribute decision making, Preference orderings, Ranking, Selection, Utility vector
Citation Format(s)
An approach to multiple attribute decision making based on preference information on alternatives. / Ma, Jian; Zhang, Quan; Fan, Zhiping et al.
In: Proceedings of the Hawaii International Conference on System Sciences, 2001.
In: Proceedings of the Hawaii International Conference on System Sciences, 2001.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
