Abstract | ||
---|---|---|
This paper proposes a multi-stage decision procedure to cope with a hierarchical multiple objective decision environment in which the upper-level DM only provides partial preference information and the lower-level DM is fuzzy about the tradeoff questions such that to achieve substantially more than or equal to some values is delivered to maximize the objectives. Therefore, the procedure consists of two levels, a upper-level and a lower-level. The main idea is that after the upper-level provides partial preference information to the lower-level as a guideline of decision, the lower-level DM determines a satisfactory solution from the reduced non-dominated set in the framework of multi-objective fuzzy programs. |
Year | DOI | Venue |
---|---|---|
2002 | 10.1023/A:1015731117218 | FO & DM |
Keywords | Field | DocType |
top-down decision procedure,partial information,satisfactory solution,fuzzy programming,MOLP | Optimal decision,Linear partial information,Fuzzy logic,Top-down and bottom-up design,Fuzzy programming,Artificial intelligence,Fuzzy decision,Mathematics | Journal |
Volume | Issue | ISSN |
1 | 2 | 1573-2908 |
Citations | PageRank | References |
3 | 0.49 | 1 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsiao-Fan Wang | 1 | 278 | 27.24 |
Zhi-Hao Huang | 2 | 3 | 1.51 |