Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

A Saha, D Pamucar, OF Gorcun, AR Mishra - Expert Systems with …, 2023 - Elsevier
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 …

Robust two-stage optimization consensus models with uncertain costs

H Li, Y Ji, J Ding, S Qu, H Zhang, Y Li, Y Liu - European Journal of …, 2024 - Elsevier
In the consensus-reaching process (CRP), decision-makers (DMs) frequently encounter the
dilemma of too much uncertain information, which can lead the actual decision to deviate …

A novel consensus model considering individual and social behaviors under the social trust network

F Teng, X Liu, X Dong, P Liu - Information Sciences, 2024 - Elsevier
In practical decision-making scenarios, the challenges lie in obtaining the collective opinion
that the majority of decision makers are willing to accept, thereby arriving at the final …

A hybrid multi-criteria decision-making framework of EWM-BWM-TODIM based on Linguistic Pythagorean fuzzy environment.

J Fan, M Wang, M Wu - J. Intell. Fuzzy Syst., 2023 - content.iospress.com
Linguistic Pythagorean fuzzy set (LPFS) combines Pythagorean fuzzy sets and linguistic
term sets, which can effectively deal with fuzzy information in multi-criteria decision-making …

A Novel Fully Fuzzy DEA Approach for Measuring Cost and Revenue Efficiency with Target Setting

J Gerami - Journal of Mathematical Extension, 2023 - ijmex.com
In this paper, we present cost and revenue efficiency evaluation models and target setting in
data envelopment analysis (DEA) in the presence of fuzzy inputs and outputs that the …