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A statistical approach for improvement of Best Worst Method (BWM)
Last modified: 2019-10-11
Abstract
Measuring the consistency of a decision making tool is an approach many investigators seek in order to enhance the quality of the decision outcomes. One of the latest MCDA developed tool is Best Worst Method (BWM) that became significant in the literature due to its usability. Several investigators thereafter have extended this method. BWM is utilized in order to generate the weight of decision-making criterion and is categorized as a subjective decision tool. The first step in this method is to find the best and worst criterion, suppose several experts are asked to present their judgments. Then to measure how these judgments are consistent, we statistically (using χ2 distribution) add a pre-evaluation to experts’ opinion and analyze whether the agreement of experts’ opinions is satisfactory and group opinion is established. This improves the quality of the decision-making process by incorporating the reliability evaluation of experts’ idea. This extension for BWM assists decision makers in facilitating and getting results that are more consistent for criteria evaluation. We present examples in sustainable supply chain in construction sector.
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