Assessment of Biofuel Industry Sustainability Factors Based on the Intuitionistic Fuzzy Symmetry Point of Criterion and Rank-Sum-Based MAIRCA Method

Abstract

Biofuel production from biomass resources can significantly contribute to greenhouse gas mitigation and clean energy generation. This paper aims to develop a new decision analysis approach under an intuitionistic fuzzy set (IFS) setting to rank suitable biomass resources for biofuel production. For this purpose, an intuitionistic fuzzy Symmetry Point of Criterion (IF-SPC) tool was introduced to obtain the objective weight of the indicators and an IF-rank sum (IF-RS) was applied to find the subjective weight of the indicators under an IFS setting. Then, an integrated multi-attributive ideal real comparative assessment (MAIRCA) approach was introduced using aggregation operators and a proposed weight-determining tool to rank suitable biomass resources for biofuel production. Further, the usability of the proposed model was tested with a case study of the selection of biomass resources for biofuel production under the context of IFS. From the obtained outcomes, we found that the most important indicators for selecting suitable biomass resources for biofuel production are cost of biomass supply (EC-3), maturity (T-3), local acceptability (SP-1), cost of the biomass conversion process (EC-2), and reduction of GHG emissions (EN-1), respectively. From this perspective, globally existing sustainable biomass resources for biofuel production were recognized and then ranked over thirteen diverse indicators including environmental, economic, technical, and social-political pillars of sustainability. It was found that municipal solid waste and sewage, forest and wood farming waste, and livestock and poultry waste achieve higher overall utility scores over the other biomass resources for biofuel production in India. Furthermore, comparison with extant models and sensitivity analysis are discussed to present the usefulness and stability of the presented model.

Application of the multi-criteria analysis method mairca, spotis, comet for the optimisation of sustainable electricity technology development

“…This study stands out for using multiple methods to make the best choice. Additionally, the MAIRCA method has been instrumental in sustainable material selection [11], with one study introducing an integrated approach to assess the sustainability of biomass resources for biofuel production [12]. Furthermore, the MAIRCA method was used to evaluate the environmental performance of suppliers in the context of green supply chain management in [13].…”

Design and Simulation of the Biodiesel Process Plant for Sustainable Fuel Production

“…The need to meet the world's rising energy demands cost-effectively is a crucial global need, necessitating increased creative work on cutting-edge renewable energy frameworks for oil-based energy [1]. The world population is increasing and is expected to increase in the future [2].…”

Choquet Integral-Based Aczel–Alsina Aggregation Operators for Interval-Valued Intuitionistic Fuzzy Information and Their Application to Human Activity Recognition

“…IFS has a lot of applications in the shape of modification, utilization, and combination with other information; for instance, Atanassov [22] invented the interval-valued IFS (IVIFS), Ejegwa and Agbetayo [23] exposed the similarity and distance measures, Tripathi et al [24] evaluated the divergence measures, Sharma et al [25] presented the analytical hierarchical process, Rani and Garg [26] derived the trigonometric operators, Hezam et al [27] examined the MAIRCA techniques, Gong and Wang [28] evaluated different types of inequalities, Jana and Pal [29] presented the decision-making problems, Garg et al [30] derived the Schweizer-Sklar prioritized operators, Mahmood et al [31] exposed the power aggregation operators, and finally, Shi et al [32] examined the Aczel-Alsina power operators.…”