Modeling and optimization of multiobjective programming problems in neutrosophic hesitant fuzzy environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06953-9.pdf
Reference38 articles.
1. Abdel-Basset M, Gunasekaran M, Mohamed M, Smarandache F (2018) A novel method for solving the fully neutrosophic linear programming problems. Neural Comput Appl 6:1595–1605
2. Adhami AY, Ahmad F, Wani N (2021). Overall shale gas water management a neutrosophic optimization approach. Optim Decis Making Oper Res Stat Methodol Appl, page 321
3. Adhami AY, Ahmad F (2020) Interactive pythagorean-hesitant fuzzy computational algorithm for multiobjective transportation problem under uncertainty. Int J Manag Sci Eng Manag 15(4):288–297
4. Ahmad F (2021a) Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management. Ann Oper Res, pp 1–35
5. Ahmad F (2021b) Robust neutrosophic programming approach for solving intuitionistic fuzzy multiobjective optimization problems. Complex Intell Syst 7:1935–1954
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1. The energy of multi-valued neutrosophic matrix and neutrosophic hesitant matrix and relationship between them in multi-criteria decision-making;Automatika;2024-01-31
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