- Tytuł:
- An algorithm for quadratically constrained multi-objective quadratic fractional programming with pentagonal fuzzy numbers
- Autorzy:
-
Goyal, Vandana
Rani, Namrata
Gupta, Deepak - Powiązania:
- https://bibliotekanauki.pl/articles/2175831.pdf
- Data publikacji:
- 2022
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
multi-objective quadratic fractional programming model
MOQFPM
pentagonal fuzzy number
PFN
mean method of α-cut
parametric approach
ε-constraint method - Opis:
- This study proposes a methodology to obtain an efficient solution for a programming model which is multi-objective quadratic fractional with pentagonal fuzzy numbers as coefficients in all the objective functions and constraints. The proposed approach consists of three stages. In the first stage, defuzzification of the coefficients is carried out using the mean method of α-cut. Then, in the second stage, a crisp multi-objective quadratic fractional programming model (MOQFP) is constructed to obtain a non-fractional model based on an iterative parametric approach. In the final stage, this multi- -objective non-fractional model is transformed to obtain a model with a single objective by applying the ε-constraint method. This final model is then solved to get desired solution. Also, an algorithm and flowchart expressing the methodology are given to present a clear picture of the approach. Finally, a numerical example illustrating the complete approach is given.
- Źródło:
-
Operations Research and Decisions; 2022, 32, 1; 49--71
2081-8858
2391-6060 - Pojawia się w:
- Operations Research and Decisions
- Dostawca treści:
- Biblioteka Nauki
Artykuł