Applications of MADM models across key sectors such as sustainable development, smart cities, healthcare management, energy, agriculture, disaster management, climate change mitigation, and mobility management in 5G/6G implementation. MADM serves as a central decision-making framework, enabling the evaluation and prioritization of complex alternatives based on multiple criteria. For instance, in smart cities, MADM can optimize urban infrastructure projects by balancing cost, efficiency, and environmental impact, while in healthcare, it aids in resource allocation and policy formulation. Similarly, in agriculture, it supports precision farming decisions, and in disaster management, it enhances preparedness and response strategies. Figure 8.1 highlights how MADM bridges technology, sustainability, and governance, offering a structured approach to solving multifaceted challenges in diverse fields. This visualization underscores the model’s versatility and its critical role in data-driven, multi-criteria decision-making processes across global and sector-specific contexts.

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Application of MADM

  • Ashok Kumar Yadav,
  • Ali Ahmadian,
  • Ajay Pratap

摘要

Applications of MADM models across key sectors such as sustainable development, smart cities, healthcare management, energy, agriculture, disaster management, climate change mitigation, and mobility management in 5G/6G implementation. MADM serves as a central decision-making framework, enabling the evaluation and prioritization of complex alternatives based on multiple criteria. For instance, in smart cities, MADM can optimize urban infrastructure projects by balancing cost, efficiency, and environmental impact, while in healthcare, it aids in resource allocation and policy formulation. Similarly, in agriculture, it supports precision farming decisions, and in disaster management, it enhances preparedness and response strategies. Figure 8.1 highlights how MADM bridges technology, sustainability, and governance, offering a structured approach to solving multifaceted challenges in diverse fields. This visualization underscores the model’s versatility and its critical role in data-driven, multi-criteria decision-making processes across global and sector-specific contexts.