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[PDF][PDF] Enhanced performance evaluation through neutrosophic data envelopment analysis leveraging pentagonal neutrosophic numbers
Neutrosophic sets, expanded from the constructs of fuzzy and intuitionistic fuzzy sets, can
accommodate degrees of truth, indeterminacy, and falsity for each element. This attribute …
accommodate degrees of truth, indeterminacy, and falsity for each element. This attribute …
An efficient algorithm for solving multilevel multi-objective linear fractional optimization problem with neutrosophic parameters
DM Moges, BG Wordofa - Expert Systems with Applications, 2024 - Elsevier
This work demonstrates the modeling of the multilevel-multiobjective linear fractional
optimization (ML-MOLFO) problem in a neutrosophic decision environment. The primary …
optimization (ML-MOLFO) problem in a neutrosophic decision environment. The primary …
A novel method for solving multiobjective linear programming problems with triangular neutrosophic numbers
Q Wang, Y Huang, S Kong, X Ma, Y Liu… - Journal of …, 2021 - Wiley Online Library
In the field of operation research, linear programming (LP) is the most utilized apparatus for
genuine application in various scales. In our genuine circumstances, the manager/decision …
genuine application in various scales. In our genuine circumstances, the manager/decision …
[BOK][B] Application of transportation problem under pentagonal neutrosophic environment
SK Das - 2020 - books.google.com
The paper talks about the pentagonal Neutrosophic sets and its operational law. The paper
presents the cuts of single valued pentagonal Neutrosophic numbers and additionally …
presents the cuts of single valued pentagonal Neutrosophic numbers and additionally …
Neutrosophic goal programming technique with bio inspired algorithms for crop land allocation problem
S Angammal, GH Grace - Scientific Reports, 2024 - nature.com
In agriculture, crop planning and land distribution have been important research subjects.
The distribution of land involves several multi-functional tasks, such as maximizing output …
The distribution of land involves several multi-functional tasks, such as maximizing output …
An approach to optimize the cost of transportation problem based on triangular fuzzy programming problem
SK Das - Complex & intelligent systems, 2022 - Springer
In this article, we address a fully fuzzy triangular linear fractional programming (FFLFP)
problem under the condition that all the parameters and decision variables are …
problem under the condition that all the parameters and decision variables are …
Neutrosophic goal programming approach for multi-objective fixed-charge transportation problem with neutrosophic parameters
In real-life optimization problems, due to some uncertainty and hesitancy, it might be
challenging for the decision-makers to identify the precise values of the parameters. To …
challenging for the decision-makers to identify the precise values of the parameters. To …
Calculation of Fuzzy shortest path problem using Multi-valued Neutrosophic number under fuzzy environment
The most well-known subject in graph theory is the shortest path problem (SPP), which has
real-world applications in several different fields of study, including transportation …
real-world applications in several different fields of study, including transportation …
Novel heuristic for new pentagonal neutrosophic travelling salesman problem
S Dhouib - Neutrosophic Sets and Systems, 2022 - books.google.com
This paper presents a new variant of Travelling Salesman Problem (TSP) and its first
resolution. In literature there is not any research work that has presented the TSP under …
resolution. In literature there is not any research work that has presented the TSP under …
An Innovative Algorithm-Driven Optimization Framework for Landfill Mining: Aiming Sustainable Profitability Expeditiously
Landfill mining (LFM) offers a potential solution to the environmental issues associated with
landfilling. The current work aims to develop an efficient optimization framework for LFM that …
landfilling. The current work aims to develop an efficient optimization framework for LFM that …