Abstract
The purpose of this paper is establishing the usefulness of newly formed modified S-curve membership function in a limited supply production-planning problem with continuous variables. Fuzzy parameters of linear programming (LP) are modeled by non-linear membership function, viz., S-curve function. In this paper the construction of modified S-curve membership function and a real-life example of supply production planning problem are presented. The computational results indicate superiority of the fuzzy linear programming (FLP) technique having modified S-curve membership function over non-fuzzy linear programming approach in optimizing individual objective functions. Furthermore, the optimal solution provides a better level of satisfaction of the decision-maker when compared with that of the non-fuzzy linear programming.
| Original language | English |
|---|---|
| Pages (from-to) | 151-157 |
| Number of pages | 7 |
| Journal | International Journal of Industrial Engineering - Theory, Applications and Practice |
| Volume | 14 |
| Issue number | 2 |
| Publication status | Published - Jun 2007 |
Keywords
- vagueness
- S-curve membership function
- degree of satisfaction
- fuzzy linear programming
- decision making
- MEMBERSHIP FUNCTIONS