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Spherical bipolar fuzzy decision model for green infrastructure selection.

Kannusamy Aarthi1, Samayan Narayanamoorthy1,2, Navaneethakrishnan Suganthi Keerthana Devi1

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Selecting sustainable green infrastructure (GI) is crucial for urban adaptation. This study introduces a novel fuzzy decision-making framework using spherical bipolar fuzzy sets to effectively assess and rank GI practices for sustainable urban development.

Keywords:
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Area of Science:

  • Urban planning and environmental science.
  • Sustainable development and climate change adaptation.
  • Decision analysis and multi-criteria evaluation.

Background:

  • Urbanization presents environmental challenges like pollution and climate change.
  • Sustainable urban development requires effective green infrastructure (GI) implementation.
  • Selecting optimal GI practices is complex due to multiple factors.

Purpose of the Study:

  • To propose a robust decision-making framework for GI practice selection.
  • To integrate environmental, economic, and social dimensions in GI assessment.
  • To address the challenge of choosing sustainable GI solutions for urban areas.

Main Methods:

  • Utilized spherical bipolar fuzzy sets (SBFS) for evaluation.
  • Employed the D-CRITIC technique to determine criterion significance.
  • Applied the PROBID approach for ranking GI alternatives.
  • Assessed six GI practices against fourteen criteria across three dimensions.

Main Results:

  • Developed and validated a novel SBFS-based D-CRITIC-PROBID framework.
  • Demonstrated the framework's effectiveness and robustness through sensitivity analysis.
  • Provided a structured approach for informed GI selection.

Conclusions:

  • The proposed framework offers a significant advancement in GI assessment methodologies.
  • This approach aids in achieving sustainable urban development goals.
  • The study validates the utility of fuzzy multi-criteria decision-making in environmental planning.