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<p>As the trend of urbanization continues, sustainable urban construction and governance have emerged as prominent areas of research. The evaluation of sustainable architecture program before construction becomes a major component of building sustainable cities. Then, an evaluation index for sustainable architecture based on BREEAM is developed. The new concept of the probabilistic 2-tuple linguistic fuzzy sets (P2TLFSs) by extending probabilistic linguistic term sets to 2-tuple linguistic sets is proposed to effectively express the evaluation information. In order to aggregate the assessment of sustain architecture denoted by P2TLFSs, the probabilistic 2-tuple linguistic fuzzy double normalization-based multi-aggregation method (P2TLF-DNMA) incorporated with maximizing deviation method is put forward. In addition, a numerical case study that applies our proposed methodology to a real-world sustainable architecture scenario is performed. Finally, a series of comparative studies are conducted to illustrate the practicality and adaptability of P2TLF-DNMA. The analysis results show that the model provides a novel and effective approach to enhance the accuracy of the decision-making in the evaluation of sustainable architecture projects.</p>

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Sustainable architecture evaluation model using double normalization-based multi-aggregation and maximizing deviation method with probabilistic 2-tuple linguistic fuzzy information

  • 期刊论文

  • 发表日期：

    2025年9月24日

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  • Xue Feng,
  • Shifeng Liu,
  • Yuan Xu

摘要

As the trend of urbanization continues, sustainable urban construction and governance have emerged as prominent areas of research. The evaluation of sustainable architecture program before construction becomes a major component of building sustainable cities. Then, an evaluation index for sustainable architecture based on BREEAM is developed. The new concept of the probabilistic 2-tuple linguistic fuzzy sets (P2TLFSs) by extending probabilistic linguistic term sets to 2-tuple linguistic sets is proposed to effectively express the evaluation information. In order to aggregate the assessment of sustain architecture denoted by P2TLFSs, the probabilistic 2-tuple linguistic fuzzy double normalization-based multi-aggregation method (P2TLF-DNMA) incorporated with maximizing deviation method is put forward. In addition, a numerical case study that applies our proposed methodology to a real-world sustainable architecture scenario is performed. Finally, a series of comparative studies are conducted to illustrate the practicality and adaptability of P2TLF-DNMA. The analysis results show that the model provides a novel and effective approach to enhance the accuracy of the decision-making in the evaluation of sustainable architecture projects.