A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection

Abstract

In the last few decades, the computational methods under Multi-Criteria Decision-Making (MCDM) have experienced significant growth in research interests from various scientific communities. Multi-Attributive Border Approximation area Comparison (MABAC) is one of the MCDM methods where its computation procedures are based on distances and areas, and able to express a complex decision systematically. Previous literature have suggested the combination of MABAC with fuzzy sets, in which this combination is used to solve problems that are characterized by uncertain and incomplete information. Differently from the fuzzy MABAC, which directly used single membership, this paper proposes bipolar neutrosophic MABAC of which the positive and negative of truth, indeterminate and false memberships of bipolar neutrosophic set are introduced to enhance decision in sustainable energy selection. Fourteen criteria and seven alternatives of sustainable energy are the main MCDM structures that need to be solved using the proposed method. A group of experts were invited to provide rating of performance values of criteria and alternatives of sustainable energy problem using a bipolar neutrosophic linguistic scale. The distances of alternatives from the Border Approximation Area of bipolar neutrosophic MABAC are the main output of the proposed method prior to making the final decision. The computational results show that ‘Biomass’ is the optimal alternative to sustainable energy selection. Comparable results are also presented to check the consistency of the proposed method.

Assessing industrialized countries’ environmental sustainability performances using an integrated multi-criteria model and software

“…When the literature is examined, the MABAC method application examples include the sustainability assessment of OPEC countries (Ecer et al, 2019 ), green supplier selection (Xu et al, 2019 ), green composite selection for clean sustainable energy (Bose et al, 2020 ), sustainability energy source selection (Rahim et al, 2020 ), and various field related to sustainable development and circular economy (Torkayesh et al, 2023 ). The problems of assessing biomedical waste disposal systems (Narayanamoorthy et al, 2020 ), evaluation of innovative success criteria for hotels (Demirdağ et al, 2021 ), and solar power plant location selection (Ateş & Topal, 2021 ) were examined in some studies where the MOOSRA method was applied.…”

Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry

“…As seen in, Table 11 when alternatives are excluded from the problem, the BN-TOPSIS method encountered no rank reversal problem. In the final phase, we implement some prominent methods based on the BNs such as BN-VIKOR (Pramanik et al 2018), BN-MABAC (Rahim et al 2020), BN-WSM (Abdel-Monem and Gavad 2021) and BN-TODIM (Pramanik et al 2016) to compare the results of the suggested methodology. The ranking results obtained via these methods are given in Table 12.…”

Selection of renewable energy development path for sustainable development using a fuzzy MCDM based on cumulative prospect theory: the case of Malaysia

“…In addition, economic growth, technological progress, and environmental degradation are leading to an increasing global demand for renewable energy 2 , 3 . Therefore, sustainable energy (SusE) is crucial for a country's economic and social development, environmental improvement, and improving people's quality of life 4 . Figure 1 shows the world's renewable energy consumption and generation from 2012 to 2022 5 .…”