Best-worst multi-criteria decision-making method: Some properties and a linear model

By Jafar Rezaei. 2016

1,559 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/47180ab410ca7a63cc51234057ab7ea7f2b664ca

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In Control and Systems Engineering

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Best-worst multi-criteria decision-making method: A robust approach (2018, methodology): “Rezaei (2016) proposed a linear programming technique to determine the final weights of various criteria and Rezaei et al. (2016) implemented the BWM for different case studies.”
Analytical hierarchy process: revolution and evolution (2021, methodology): “The BWM, presented by Rezaei (2015), constitutes another criteria weighting technique that has become quite popular in the literature (Ahmadi et al., 2017; Delice & Can, 2020; Liang et al., 2020; Rezaei, 2016; Rezaei et al., 2015, 2016).”
Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers (2017, methodology): “} 1,2,...,9 which is defined in [45].”
Selection of biomass thermochemical conversion technology in the Netherlands: A best worst method approach (2017, methodology): “Here we present the five steps of the linear BWM (Rezaei, 2015, 2016): Step 1 Determining a set of criteria.”
Measuring the relative importance of the logistics performance index indicators using Best Worst Method (2018, methodology): “Gupta (2018) used BWM for evaluating service quality of airline industry, while Salimi and Rezaei (2016), Salimi (2017) used the method for evaluating university-industry collaboration and scienti ﬁ c outputs respectively.”
Comprehensive benefit evaluation of eco-industrial parks by employing the best-worst method based on circular economy and sustainability (2018, background): “The BWM is composed of five steps (Rezaei 2015a, b).”
A supply chain sustainability innovation framework and evaluation methodology (2018, methodology): “A value closer to 0 is more desired for consistency (Rezaei 2016).”
Bayesian best-worst method: A probabilistic group decision making model (2020, methodology): “The original BWM is presented as a non-linear optimization problem [9] , while there exists a linear approximation [10] , a multiplicative version [28] , and some hybrid versions such as BWM-MULTIMOORA [29] and BWM-VIKOR.”
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development (2018, methodology): “Several researchers have applied the method to address different problems (Gupta and Barua, 2016; Mou, Xu, and Liao, 2016; Rezaei, 2016; van de Kaa, Kamp, and Rezaei, 2017).”
Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers (2018, methodology): “Since the method is very recent, the literature so far only has the traditional (crisp) BWM (Rezaei, 2015; Rezaei et al., 2015; Rezaei, 2016; Gupta, 2017; Shojaei et al., 2017; Ren et al., 2017; Wan Ahmad et al., 2017) and modification of the BWM carried out using fuzzy numbers (Guo and Zhao, 2017;…”
A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) (2018, methodology): “FUCOM was also tested on other examples from the literature in which the BWM and the AHP models were used [118,142], and the optimal values of the weight coefﬁcients of the criteria were obtained with the n − 1 number of the pairwise comparisons.”