Scholarlink

<p>In densely populated religious sites like Mahakal Ujjain Temple, maintaining indoor air quality is vital for health safety. This study applies fuzzy logic to predict the probability of airborne infection using variables such as ACH, population density, temperature difference, physical activity, and respiratory activity. Fuzzy sets manage real-world uncertainty, while a rule-based fuzzy inference system evaluates infection risk. Model validation shows strong correlation (R<sup>2</sup> = 0.823) between predicted and actual values, confirming its reliability in guiding ventilation strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Fuzzy Logic-Based Prediction of Probability of Infection in Mahakal Ujjain Temple, India: Enhancing Ventilation Strategies for Public Health Safety

  • 期刊论文

  • 发表日期：

    2025年10月21日

查看全文
  • Apurva Sharma,
  • Anupama Sharma

摘要

In densely populated religious sites like Mahakal Ujjain Temple, maintaining indoor air quality is vital for health safety. This study applies fuzzy logic to predict the probability of airborne infection using variables such as ACH, population density, temperature difference, physical activity, and respiratory activity. Fuzzy sets manage real-world uncertainty, while a rule-based fuzzy inference system evaluates infection risk. Model validation shows strong correlation (R2 = 0.823) between predicted and actual values, confirming its reliability in guiding ventilation strategies.