Objective weighting methods play a significant role in multi-criteria decision analysis
(MCDA). Determining weights by decision-makers using subjective methods is widely used …

Numerous electric vehicles (EVs) consumers express their opinions about EVs on
automotive websites. These online reviews can be mined and analyzed to understand …

Exogenous constraints such as fixed-sum output can affect the efficiency assessment of
traditional two-stage data envelopment analysis (DEA) models. To address this issue …

Multi-objective game (MOG) is a fundamental model for the decision-making problems in
which each player must consider multi-dimensional payoffs that reflect different objectives …

Evaluating performance of supply chains has been an important topic in supply chain
management for researchers and practitioners. In this study, we integrate stochastic …

With advances in information and communication technologies (ICT), customers
increasingly share their comments about electric vehicles (EVs) on various professional …

The generalized equilibrium efficient frontier data envelopment analysis (GEEFDEA)
approach, an extension of the DEA method, has been widely used to solve the problem of …

The interval cross-efficiency approach is an effective technique to rank decision making
units (DMUs). It somewhat alleviates the selection difficulties between benevolent and …

Under the influence of COVID-19, various emergency supplies have repeatedly broken
links, seriously affecting normal life and hindering the sustainable development of …

This research proposes the most ideal Wireless Sensor Network (WSN) topology for remote
integrity monitoring of an offshore gas turbine driven generator. The intention is to design the …