Abstract
We propose a two-phase approach to solve the fuzzy linear programming problem. Although several methods in the literature have been proposed to treat this problem, the two-phase approach has the merit stated as: if the decision maker is seeking an efficient solution which can improve the max-min operators' solution so that each membership degree should be improved, then the two-phase method automatically attains this desire if there is room to improve. An interpretation of this result is that the two-phase method not just pursue the highest membership degree in the objective, but also pursue a better utilization of each constrained resource.
| Original language | English |
|---|---|
| Pages (from-to) | 191-195 |
| Number of pages | 5 |
| Journal | Fuzzy Sets and Systems |
| Volume | 107 |
| Issue number | 2 |
| DOIs | |
| State | Published - 16 10 1999 |
| Externally published | Yes |
Keywords
- Fuzzy linear programming problem
- Fuzzy-and operator
- Max-min operator
- Two-phase approach