Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach
The automotive industry is one of the most competitive sectors, and it requires a well-
structured logistics system to meet the industry'vital requirements such as just-in-time, lean …
structured logistics system to meet the industry'vital requirements such as just-in-time, lean …
Multicriteria decision making based on novel score function of Fermatean fuzzy numbers, the CRITIC method, and the GLDS method
In this paper, we propose a new score function of Fermatean fuzzy numbers (FFNs). The
proposed score function of FFNs can conquer the drawbacks of the existing score function of …
proposed score function of FFNs can conquer the drawbacks of the existing score function of …
New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems
DK Tripathi, SK Nigam, P Rani… - … Making: Applications in …, 2023 - dmame-journal.org
The present study introduces a decision-making approach with the combined compromise
solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method …
solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method …
[HTML][HTML] Evaluation of risks impeding sustainable mining using Fermatean fuzzy score function based SWARA method
Sustainability in the mining and raw materials sector is a key target in the EU Green deal
agenda. The aim of this work is to determine the degree of importance of risks that may …
agenda. The aim of this work is to determine the degree of importance of risks that may …
A hybrid approach based on dual hesitant q-rung orthopair fuzzy Frank power partitioned Heronian mean aggregation operators for estimating sustainable urban …
Transportation systems are a key part of sustainable development, and they need to be
carefully evaluated to show that they have a strong impact on the target area's social …
carefully evaluated to show that they have a strong impact on the target area's social …
Assessing the barriers of digitally sustainable transportation system for persons with disabilities using Fermatean fuzzy double normalization-based multiple …
Digital technology can guarantee safety and security improvement in public transport
together with increasing affordability for disabled travelers. This study aims to propose a …
together with increasing affordability for disabled travelers. This study aims to propose a …
Critical success factors of lean six sigma to select the most ideal critical business process using q-ROF CRITIC-ARAS technique: Case study of food business
The current market conditions have forced Lean Six Sigma (LSS) upon businesses as one of
the must-have practices. The practices have been credited with enhancing the efficiency of …
the must-have practices. The practices have been credited with enhancing the efficiency of …
Multiple attribute decision making based on MAIRCA, standard deviation-based method, and Pythagorean fuzzy sets
In this paper, we propose a new multiple attribute decision making (MADM) approach based
on the multi-attribute ideal-real comparative assessment (MAIRCA) method, the standard …
on the multi-attribute ideal-real comparative assessment (MAIRCA) method, the standard …
An extensible complex spherical fuzzy decision making model based selection framework for the food waste treatment method
Food waste has been recognized as one of the most severe environmental problems
globally. Food waste management is an effective procedure for achieving global food …
globally. Food waste management is an effective procedure for achieving global food …
A new multi-objective decision-making method with diversified weights and Pythagorean fuzzy rough sets
J Ye, B Sun, Q Bao, C Che, Q Huang, X Chu - Computers & Industrial …, 2023 - Elsevier
In reality, there are many multi-objective decision-making problems with fuzziness and
uncertainty, such as the choice of clinical treatment schemes. To effectively cope with such …
uncertainty, such as the choice of clinical treatment schemes. To effectively cope with such …