Fuzzy best-worst multi-criteria decision-making method and its applications

By Sen Guo, Haoran Zhao. Knowledge-Based Systems, 2017

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ZBWM: The Z-number extension of Best Worst Method and its application for supplier development (2018, methodology): “The rules of transformation are listed in Table 1 (Lootsma, 1980; Van Laarhoven and Pedrycz, 1983; Guo and Zhao, 2017).”
Best-worst multi-criteria decision-making method: A robust approach (2018, methodology): “Sustainability assessment of technologies in an Eco-city based on bestworst method was studied by Ren et al. (2016). Mou et al.”
Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers (2017, methodology): “Since the method is very recent, the literature so far only has the traditional (crisp) BWM [44,45,56] and modification of the BWM carried out using fuzzy numbers [57,58].”
Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers (2018, methodology): “If the DM agree on their preference for the best criterion over the worst then BWa represents the fuzzy value of BWa from the defined scale (Table 3) and then the maximum values of apply for different values of BWa , Table 4 (Guo and Zhao, 2017).”