Abstract
This paper suggests an efficient procedure to search for efficient/satisfactory solution of Multi-objective Fully Quadratic Fractional Optimization Model with fuzzy coefficients using \(\alpha\)-level set and FGP approach. Quadratic fractional objectives are hard to handle due to their complex structure and need to be converted into non-fractional form. Till now, Taylor’s series or parametric method is used to employ simpler objectives. But their always exist chance of error due to truncation of infinite series. Here, a new method is induced to have non-fractional fuzzy goals and in the final step, the linear weighted sum of negative deviational variables is minimized to satisfy all objective functions upto maximum possible extent. In the end, an algorithm, flowchart and numerical are also given to clarify the applicability of the suggested approach.
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References
AbdAlhakim H, Emam O, Abd El-Mageed A (2019) Architecting a fully fuzzy information model for multi-level quadratically constrained quadratic programming problem. Opsearch 56(2):367–389
Al-Rabeeah M, Al-Hasani A, Kumar S, Eberhard A (2020) Enhancement of the improved recursive method for multi-objective integer programming problem. J Phys Conf Series 1490:012061
Ammar E (2008) On solutions of fuzzy random multiobjective quadratic programming with applications in portfolio problem. Inf Sci 178(2):468–484
Ammar E, Khalifa H (2019) Solving fully fuzzy multi-objective linear fractional programming problems based on fuzzy programming approach. J Fuzzy Math 27(2):301–312
Baky IA, Eid MH, El Sayed MA (2014) Bi-level multi-objective programming problem with fuzzy demands: a fuzzy goal programming algorithm. Opsearch 51(2):280–296
Farahat F et al (2020) Study of achievement stability set for parametric linear fgp problems. Ain Shams Eng J 11(4):1345–1353
Fletcher R (1971) A general quadratic programming algorithm. IMA J Appl Math 7(1):76–91
Goyal V, Rani N, Gupta D (2021) Parametric approach to quadratically constrained multi-level multi-objective quadratic fractional programming. OPSEARCH pp 1–18
Gupta D, Kumar S, Rani N (2019) Fgp in multi-objective non-linear fractional optimization model including triangular fuzzy numbers. Int J Innov Technol Explor Eng 8(11):2122–2130
Jozefowiez N, Semet F, Talbi EG (2008) Multi-objective vehicle routing problems. Eur J Operation Res 189(2):293–309
Kaushal B, Arora R, Arora S (2020) An aspect of bilevel fixed charge fractional transportation problem. Int J Appl Comput Math 6(1):1–19
Kumar A, Pant S, Ram M, Chaube S (2019) Multi-objective grey wolf optimizer approach to the reliability-cost optimization of life support system in space capsule. Int J Syst Assur Eng Manag 10(2):276–284
Kumar PS (2020) Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set. Int J Syst Assur Eng Manag 11(1):189–222
Lachhwani K, Poonia MP (2012) Mathematical solution of multilevel fractional programming problem with fuzzy goal programming approach. J Ind Eng Int 8(1):16
Lai YJ (1996) Hierarchical optimization: a satisfactory solution. Fuzzy Sets Syst 77(3):321–335
Lotfi FH, Noora AA, Jahanshahloo GR, Khodabakhshi M, Payan A (2010) A linear programming approach to test efficiency in multi-objective linear fractional programming problems. Appl Math Modell 34(12):4179–4183
Mekhilef A, Moulaï M, Drici W (2021) Solving multi-objective integer indefinite quadratic fractional programs. Ann Operations Res 296(1):821–840
Mohamed RH (1997) The relationship between goal programming and fuzzy programming. Fuzzy Sets Syst 89(2):215–222
Osman M, Emam O, Elsayed M (2018) Interactive approach for multi-level multi-objective fractional programming problems with fuzzy parameters. Beni-Suef Univ J Bas Appl Sci 7(1):139–149
Payan A, Noora AA (2014) A linear modelling to solve multi-objective linear fractional programming problem with fuzzy parameters. Int J Math Modell Numer Optim 5(3):210–228
Pradhan A, Biswal M (2019) Linear fractional programming problems with some multi-choice parameters. Int J Operation Res 34(3):321–338
Pramanik S, Dey PP (2011) Bi-level multi-objective programming problem with fuzzy parameters. Int J Comput Appl 30(10):13–20
RANI N, GOYAL V, GUPTA D (2020) Fgp approach to bi-level multi-objective quadratic fractional programming with parametric functions
Rani N, Goyal V, Gupta D (2021) Multi-level multi-objective fully quadratic fractional optimization model with trapezoidal fuzzy numbers using rouben ranking function and fuzzy goal programming. Materials Today: Proceedings
Rizk-Allah RM, Abo-Sinna MA (2020) A comparative study of two optimization approaches for solving bi-level multi-objective linear fractional programming problem. OPSEARCH 58:1–29
Shi X, Xia H (1997) Interactive bilevel multi-objective decision making. J Operation Res Soc 48(9):943–949
Tantawy S (2008) A new procedure for solving linear fractional programming problems. Math Comput Modell 48(5–6):969–973
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Rani, N., Goyal, V. & Gupta, D. A solution procedure for multi-objective fully quadratic fractional optimization model. Int J Syst Assur Eng Manag 12, 1447–1458 (2021). https://doi.org/10.1007/s13198-021-01366-7
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DOI: https://doi.org/10.1007/s13198-021-01366-7