Department of Mathematics, Government College Raigaon, Satna, Madhya Pradesh, 485441, India.
Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, 522302, India.
Sci Rep. 2023 Mar 28;13(1):5055. doi: 10.1038/s41598-023-31843-x.
In the past few years, the private sectors and industries have focused their attention on sustainable development goals to achieve the better and more sustainable future for all. To accomplish a sustainable community, one requires to better recognize the fundamental indicators and selects the most suitable sustainable policies in diverse regions of the community. Considering the huge impact of construction industry on sustainable development, very less research efforts have been made to obtain worldwide sustainable elucidations for this type of industry. As a large sector of construction industry, industrial buildings consume enormous amounts of energy and financial assets, and play a key character in job creation and life quality improvement in the community. In order to assess the sustainable industrial buildings by means of multiple indicators, the present study introduces a hybrid multi-criteria decision-making methodology which integrates the fairly aggregation operator, the MEthod based on the Removal Effects of Criteria (MEREC), the stepwise weight assessment ratio analysis (SWARA) and the additive ratio assessment (ARAS) methods with intuitionistic fuzzy set (IFS). In this respect, firstly new intuitionistic fuzzy weighted fairly aggregation operators are proposed and then employed to aggregate the decision information in the proposed hybrid method. This operator overcomes the limitations of basic intuitionistic fuzzy aggregation operators. To find the criteria weights, an integrated model is presented based on the MEREC for objective weights and the SWARA for subjective weights of indicators under IFS context. To rank the sustainable industrial buildings, an integrated ARAS method is employed from uncertain perspective. Further, a case study concerning sustainable industrial buildings evaluation is presented to illustrate the superiority and practicality of the developed methodology. The advantages of the developed approach are highlighted in terms of stability and reliability by comparison with some of the existing methods.
在过去的几年中，私营部门和行业一直关注可持续发展目标，以实现更美好、更可持续的未来。要实现可持续社区，需要更好地认识基本指标，并在社区的不同地区选择最合适的可持续政策。考虑到建筑行业对可持续发展的巨大影响，针对这种类型的行业，很少有研究工作致力于获得全球可持续发展的解释。作为建筑行业的一个大部门，工业建筑消耗了大量的能源和金融资产，并在社区创造就业机会和提高生活质量方面发挥着关键作用。为了通过多个指标评估可持续工业建筑，本研究提出了一种混合多准则决策方法，该方法集成了公平聚合算子、基于准则消除效应的方法（MEREC）、逐步权重评估比率分析（SWARA）和加性比率评估（ARAS）方法以及直觉模糊集（IFS）。在这方面，首先提出了新的直觉模糊加权公平聚合算子，然后将其用于聚合所提出的混合方法中的决策信息。该算子克服了基本直觉模糊聚合算子的局限性。为了找到准则权重，在直觉模糊环境下，基于 MEREC 提出了一个用于客观权重的集成模型，以及基于 SWARA 的指标主观权重的集成模型。为了对可持续工业建筑进行排名，从不确定的角度采用了综合的 ARAS 方法。此外，还提出了一个关于可持续工业建筑评估的案例研究，以说明所开发方法的优越性和实用性。与一些现有方法相比，该方法在稳定性和可靠性方面具有优势。
