A parametric neutrosophic model for the solid transportation problem
Purpose This research attempts to present a solid transportation problem (STP) mechanism
in uncertain and indeterminate contexts, allowing decision makers to select their …
in uncertain and indeterminate contexts, allowing decision makers to select their …
Multi-objective optimization model for uncertain crop production under neutrosophic fuzzy environment: A case study
In real world uncertainty exist in almost every problem. Decision-makers are often unable to
describe the situation accurately or predict the outcome of potential solutions due to …
describe the situation accurately or predict the outcome of potential solutions due to …
An integrated decision support model for effective institutional coordination framework in planning for public transportation
The absence of effective coordination among different institutions involved in planning for
public transportation has become a prominent global concern. At present, numerous cities …
public transportation has become a prominent global concern. At present, numerous cities …
New strategy for solving multi-objective green four dimensional transportation problems under normal type-2 uncertain environment
AK Bind, D Rani, A Ebrahimnejad… - Engineering Applications of …, 2024 - Elsevier
In the present world, transportation systems prioritize sustainable growth strategies to
minimize costs, carbon emissions and vehicle maintenance in logistics and supply chain …
minimize costs, carbon emissions and vehicle maintenance in logistics and supply chain …
[PDF][PDF] Towards neutrosophic Circumstances goal programming approach for solving multi-objective linear fractional programming problems.
Indeterminacy is common in practical decision-making circumstances. So the mathematical
models of decision making represent the situations in a better way if the parameters are …
models of decision making represent the situations in a better way if the parameters are …
An intelligent sv-neutrosophic parameterized MCDM approach to risk evaluation based on complex fuzzy hypersoft set for real estate investments
Purpose In this article, the elementary notions and aggregation operations of single-valued
neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) are characterized …
neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) are characterized …
[PDF][PDF] A compromise solution for the neutrosophic multi-objective linear programming problem and its application in transportation problem
E Hosseinzadeh, J Tayyebi - Journal of applied research on …, 2023 - journal-aprie.com
Neutrosophic set theory plays an important role in dealing with the impreciseness and
inconsistency in data encountered in solving real-life problems. The current paper focuses …
inconsistency in data encountered in solving real-life problems. The current paper focuses …
A Modified Novel Method for Solving the Uncertainty Linear Programming Problems Based on Triangular Neutrosophic Number
Generally, linear programming (LP) problem is the most extensively utilized technique for
solving and optimizing real-world problems due to its simplicity and efficiency. However, to …
solving and optimizing real-world problems due to its simplicity and efficiency. However, to …
[PDF][PDF] Neutrosophic Connected topological spaces
A Acikgoz, F Esenbel - Fasciculi Mathematici, 2023 - fasciculi-mathematici.put.poznan.pl
We present the definition of neutrosophic connectedness and include some
characterizations in this paper. We also introduce neutrosophic product space and …
characterizations in this paper. We also introduce neutrosophic product space and …
Confidence neutrosophic number linear programming methods based on probability distributions and their applications in production planning problems
G Lv, S Du, J Ye - Mathematical Problems in Engineering, 2022 - Wiley Online Library
A neutrosophic number linear programming (NN‐LP) method reveals a useful tool for
solving optimal production planning problems in an indeterminate environment. The optimal …
solving optimal production planning problems in an indeterminate environment. The optimal …