Real humankind problems have different sorts of ambiguity in the creation, and amidst them, one of the significant issues in solving the integer linear programming issues. In this …
Fuzzy Linear Programming (FLP) has addressed the increasing complexity of real-world decision-making problems that arise in uncertain and ever-changing environments since its …
We investigate various types of fuzzy linear programming problems based on models and solution methods. First, we review fuzzy linear programming problems with fuzzy decision …
HAEW Khalifa, P Kumar - Croatian operational research review, 2020 - hrcak.srce.hr
Sažetak Neutrosophic set is considered as a generalized of crisp set, fuzzy set, and intuitionistic fuzzy set for representing the uncertainty, inconsistency, and incomplete …
M Ranjbar, SM Miri, S Effati - Expert systems with applications, 2020 - Elsevier
In this paper, we propose a new definition of hesitant fuzzy numbers (HFNs) and study some essential properties of these numbers. We show (α, k)-cuts that were discussed in the recent …
Page 1 Int. J. Res. Ind. Eng. Vol. 9, No. 1 (2020) 13–24 International Journal of Research in Industrial Engineering www.riejournal.com Modified Solution for Neutrosophic Linear …
B Basumatary, S Broumi - International Journal of …, 2020 - pdfs.semanticscholar.org
In this paper, we have proposed an Interval-valued triangular neutrosophic number (IV-TNN) as a key factor to solve the neutrosophic linear programming problem. In the present …
This paper proposes a novel solution technique for the multi-objective linguistic optimization problems (MOLOPs) based on the 2-tuple fuzzy linguistic approach. The proposed approach …
M Arana-Jiménez, C Sánchez-Gil - Journal of Global Optimization, 2020 - Springer
The paper presents a new method for solving fully fuzzy linear programming problems with inequality constraints and parameterized fuzzy numbers, by means of solving multiobjective …