Supplier Selection Problem with Type-2 Fuzzy Parameters: A Neutrosophic Optimization Approach

Author:

Ahmad Shafiq,Ahmad FirozORCID,Sharaf Mohamed

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference39 articles.

1. Abdel-Basset, M., Gunasekaran, M., Mohamed, M., Smarandache, F.: A novel method for solving the fully neutrosophic linear programming problems. Neural Comput. Appl. 31(5), 1595–1605 (2019)

2. Adhami, A.Y., Ahmad, F.: Interactive pythagorean-hesitant fuzzy computational algorithm for multiobjective transportation problem under uncertainty. Int. J. Manage. Sci. Eng. Manage. (2020). https://doi.org/10.1080/17509653.2020.1783381

3. Ahmad, F., Adhami, A.Y.: Neutrosophic programming approach to multiobjective nonlinear transportation problem with fuzzy parameters. Int. J. Manage. Sci. Eng. Manage. 14(3), 218–229 (2019a)

4. Ahmad, F., Adhami, A.Y.: Total cost measures with probabilistic cost function under varying supply and demand in transportation problem. OPSEARCH 56(2), 583–602 (2019b)

5. Ahmad, F., Adhami, A.Y., Smarandache, F.: Single valued neutrosophic hesitant fuzzy computational algorithm for multiobjective nonlinear optimization problem. Neutrosophic Sets Syst. 22, 1 (2018)

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