A Pythagorean fuzzy approach to the transportation problem
This paper introduces a simplified presentation of a new computing procedure for solving
the fuzzy Pythagorean transportation problem. To design the algorithm, we have described …
the fuzzy Pythagorean transportation problem. To design the algorithm, we have described …
Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model
X Zhou, Z Xu, J Chai, L Yao, S Wang, B Lev - Omega, 2019 - Elsevier
Efficiency evaluations are vital for banks so that they can determine their future development
and enhance their competitiveness. To comprehensively explore a bank's internal structures …
and enhance their competitiveness. To comprehensively explore a bank's internal structures …
[HTML][HTML] A new score function based Fermatean fuzzy transportation problem
L Sahoo - Results in control and optimization, 2021 - Elsevier
Today the supply, the demand and transportation costs in a transportation problem (TP)
cannot be measured precisely due to the inconstant economic and environment conditions …
cannot be measured precisely due to the inconstant economic and environment conditions …
Fuzzy arithmetic DEA approach for fuzzy multi-objective transportation problem
In this paper, a transportation problem (TP) with fuzzy costs in the presence of multiple and
conflicting objectives is investigated. In fact, a fuzzy data envelopment analysis (DEA) …
conflicting objectives is investigated. In fact, a fuzzy data envelopment analysis (DEA) …
An extended multi-objective transportation model based on Fermatean fuzzy sets
Fermatean fuzzy sets are a more efficient, flexible, and general model for dealing with
uncertainty as compared to Pythagorean fuzzy sets. The multi-objective transportation …
uncertainty as compared to Pythagorean fuzzy sets. The multi-objective transportation …
Multiobjective reliability redundancy allocation problem with interval type-2 fuzzy uncertainty
The multiobjective reliability redundancy allocation problem (MORRAP) aims to ensure high
system reliability in the presence of optimally redundant components. This is one of the most …
system reliability in the presence of optimally redundant components. This is one of the most …
An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection
X Sang, X Liu - Journal of the Operational Research Society, 2016 - Taylor & Francis
With the increasing awareness and significant environmental pressures from various
stakeholders, companies have realized the significance of selecting green suppliers to their …
stakeholders, companies have realized the significance of selecting green suppliers to their …
An advanced similarity measure for Pythagorean fuzzy sets and its applications in transportation problem
B Saikia, P Dutta, P Talukdar - Artificial Intelligence Review, 2023 - Springer
Uncertainty is excessively a common, inevitable, and conspicuopus aspect of any decision-
making process, including transportation problems. Since its inception, a plethora of …
making process, including transportation problems. Since its inception, a plethora of …
Evolutionary algorithm based approach for solving transportation problems in normal and pandemic scenario
In recent times, COVID-19 pandemic has posed certain challenges to transportation
companies due to the restrictions imposed by different countries during the lockdown. These …
companies due to the restrictions imposed by different countries during the lockdown. These …
An integrated decision support method for strategic planning and tactical management of regional biomass power plants under uncertainties
L Ji, Z Zheng, Y Huang, Y **e, L Sun… - Journal of Cleaner …, 2023 - Elsevier
In the context of global climate change and energy security pressures, biomass power
generation has been regarded as an effective way to supplement the energy supply, reduce …
generation has been regarded as an effective way to supplement the energy supply, reduce …