An integrated trapezoidal fuzzy FUCOM‐TOPSIS method to determine alternatives' ranking and utilization in the water treatment plant

托普西斯 排名(信息检索) 模糊逻辑 秩(图论) 质量(理念) 水质 缺水 环境经济学 水资源 计算机科学 运筹学 数学 经济 机器学习 人工智能 哲学 组合数学 认识论 生物 生态学
作者
Priyanka Majumder
出处
期刊:Environmental progress & sustainable energy [Wiley]
卷期号:42 (4) 被引量:8
标识
DOI:10.1002/ep.14096
摘要

Abstract World leaders continue to place a high premium on organizing sustainable and clean water sources. Due to the importance of water to both public health and industry, there is a significant demand for adequate quality water supplies, which many countries throughout the world are under pressure to offer. Water scarcity and poor water quality continue to be significant problems in both the home and industrial sectors, particularly in India. Therefore, it is crucial to assess the current water treatment plant's (WTP's) performance efficiency. There are numerous ways to assess the performance of WTPs. These methods, meanwhile, are absolute because they treat each parameter equally, which only partially mirrors reality. This study provides a hybrid decision‐making method that combines trapezoidal fuzzy FUCOM (TrF‐FUCOM) and trapezoidal fuzzy TOPSIS (TrF‐TOPSIS) to find the best option for enhancing a WTP's efficacy. TrF‐FUCOM is used to assess the weights of the criteria, as well as TrF‐TOPSIS is employed to rank the indicators. According to the results, improving the quality of incoming water is the most important parameter for improving the efficiency of WTPs. The outcomes of the suggested technique are contrasted with those of the already used technique. In addition, scenario analysis and sensitivity analysis are used to validate the suggested model.
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