Open Access
| Issue |
RAIRO-Oper. Res.
Volume 60, Number 4, July-August 2026
|
|
|---|---|---|
| Page(s) | 2297 - 2309 | |
| DOI | https://doi.org/10.1051/ro/2026071 | |
| Published online | 31 July 2026 | |
- S.K. Sharma and K. Goel, Analysis of IBFS for transportation problem by using various methods. Math. Stat. 10 (2022) 741–746. [Google Scholar]
- M.K. Sharma, S.P. Yadav and R. Yadav, Fermatean fuzzy programming with new score function: a new methodology to multi-objective transportation problems. Electronics 12 (2023) 277. [Google Scholar]
- F.L. Hitchcock, The distribution of a product from several sources to numerous localities. J. Math. Phys. 20 (1941) 224–230. [Google Scholar]
- S. Kalyani and S. Nagarani, A fully fuzzy transportation problem with hexagonal fuzzy number. AIP Conf. Proc. 2261 (2020) 030078. [Google Scholar]
- G. Gupta and K. Anupum, An efficient method for solving intuitionistic fuzzy transportation problem of type-2. Int. J. Appl. Comput. Math. 3 (2017) 3795–3804. [Google Scholar]
- J. Ahmed and S. Bashir, Fully bipolar single-valued neutrosophic transportation problems. Math. Probl. Eng. 2022 (2022) 1839028. [Google Scholar]
- L.A. Zadeh, Fuzzy sets. Inf. Control 8 (1965) 338–353. [Google Scholar]
- R.M. Umamageswari and G. Uthra, A Pythagorean fuzzy approach to solve transportation problem. Adalya J. 9 (2020) 1301–1308. [Google Scholar]
- H. Karunakaran and V. Bhumireddy, Utilising neutrosophic logic in the design of a smart air-conditioning system. Appl. Sci. 12 (2022) 9776. [Google Scholar]
- K.T. Atanassov, New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets Syst. 20 (1986) 87–96. [Google Scholar]
- R.R. Yager, Pythagorean membership grades in multicriteria decision making. IEEE Trans. Fuzzy Syst. 22 (2013) 958–965. [Google Scholar]
- T. Senapati and R.R. Yager, Fermatean fuzzy sets. J. Ambient Intell. Humaniz. Comput. 11 (2020) 663–674. [Google Scholar]
- M. Akram, U. Amjad, J.C.R. Alcantud and G. Santos-García, Complex Fermatean fuzzy N-soft sets: a new hybrid model with applications. J. Ambient Intell. Humaniz. Comput. 14 (2023) 8765–8798. [Google Scholar]
- Z. Deng and J. Wang, New distance measure for Fermatean fuzzy sets and its application. Int. J. Intell. Syst. 37 (2022) 1903–1930. [Google Scholar]
- M. Kirisci, Correlation coefficients of Fermatean fuzzy sets with a medical application. J. Math. Sci. Model. 5 (2022) 16–23. [Google Scholar]
- M. Kirişci, New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach. Knowl. Inf. Syst. 65 (2023) 855–868. [Google Scholar]
- M. Keshavarz-Ghorabaee, M. Amiri, M. Hashemi-Tabatabaei, E.K. Zavadskas and A. Kaklauskas, A new decision-making approach based on Fermatean fuzzy sets and WASPAS for green construction supplier evaluation. Mathematics 8 (2020) 2202. [Google Scholar]
- M. Akram and R. Bibi, Multi-criteria group decision-making based on an integrated PROMETHEE approach with 2-tuple linguistic Fermatean fuzzy sets. Granul. Comput. 8 (2023) 917–941. [Google Scholar]
- A. Zeb, A. Khan, M. Juniad and M. Izhar, Fermatean fuzzy soft aggregation operators and their application in symptomatic treatment of COVID-19. J. Ambient Intell. Humaniz. Comput. 14 (2023) 11607–11624. [Google Scholar]
- M.S. Sindhu, I. Siddique, M. Ahsan, F. Jarad and T. Altunok, An approach of decision-making under the framework of Fermatean fuzzy sets. Math. Probl. Eng. 2022 (2022) 8442123. [Google Scholar]
- M. Akram, S. Shahzadi, S.M.U. Shah and T. Allahviranloo, A fully Fermatean fuzzy multi-objective transportation model using an extended DEA technique. Granul. Comput. 8 (2023) 1173–1204. [Google Scholar]
- S. Jeevaraj, Ordering of interval-valued Fermatean fuzzy sets and its applications. Expert Syst. Appl. 185 (2021) 115613. [Google Scholar]
- W. Ali and S. Javaid, Enhancing Fermatean fuzzy transportation problems: an innovative score function-based optimization strategy. Int. Res. J. Econ. Manag. Stud. 2 (2023) 546–558. [Google Scholar]
- M. Akram, S. Shahzadi, S.M.U. Shah and T. Allahviranloo, An extended multi-objective transportation model based on Fermatean fuzzy sets. Soft Comput. (2023) 1–23. [Google Scholar]
- V. Simiæ, I. Ivanoviæ, V. Ðoriæ and A.E. Torkayesh, Adapting urban transport planning to the COVID-19 pandemic: an integrated Fermatean fuzzy model. Sustain. Cities Soc. 79 (2022) 103669. [Google Scholar]
- M. Akram, G. Shahzadi and B. Davvaz, Decision-making model for internet finance soft power and sportswear brands based on sine-trigonometric Fermatean fuzzy information. Soft Comput. 27 (2023) 1971–1983. [Google Scholar]
- R. Kumar, S.A. Edalatpanah, S. Jha and R. Singh, A Pythagorean fuzzy approach to the transportation problem. Complex Intell. Syst. 5 (2019) 255–263. [Google Scholar]
- K. Hemalatha and B. Venkateswarlu, Pythagorean fuzzy transportation problem: new way of ranking for Pythagorean fuzzy sets and mean square approach. Heliyon 9 (2023) e20775. [Google Scholar]
- M.K. Sharma, A.K. Bhargava, S. Kumar, L. Rathour, L.N. Mishra and S. Pandey, A Fermatean fuzzy ranking function in optimization of intuitionistic fuzzy transportation problems. Adv. Math. Models Appl. 7 (2022) 191–204. [Google Scholar]
- L. Sahoo, Transportation problem in Fermatean fuzzy environment. RAIRO-Oper. Res. 57 (2023) 145–156. [Google Scholar]
- L. Sahoo, A new score function based Fermatean fuzzy transportation problem. Results Control Optim. 4 (2021) 100040. [Google Scholar]
- M. Akram, S.M.U. Shah, M.M.A. Al-Shamiri and S.A. Edalatpanah, Fractional transportation problem under interval-valued Fermatean fuzzy sets. AIMS Math. 7 (2022) 17327–17348. [Google Scholar]
- Kamini and M.K. Sharma, Zero-point maximum allocation method for solving intuitionistic fuzzy transportation problem. Int. J. Appl. Comput. Math 6 (2020) 115. [Google Scholar]
- T. Senapati and R.R. Yager, Fermatean fuzzy weighted averaging/geometric operators and its application in multi-criteria decision-making methods. Eng. Appl. Artif. Intell. 85 (2019) 112–121. [Google Scholar]
- L. Sahoo, Some score functions on Fermatean fuzzy sets and its application to bride selection based on TOPSIS method. Int. J. Fuzzy Syst. Appl. 10 (2021) 8–29. [Google Scholar]
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