球形模糊环境中的城市固体废物管理数学模型

Et al. Manbir Kaur
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引用次数: 0

摘要

利用基于教学的优化技术开发了球形模糊模型,用于支持模糊环境下的城市固体废物管理。球形模糊集能够捕捉不精确和相互矛盾的信息,从而为决策问题做出巨大贡献。因此,我们在本文中介绍了球形模糊环境下的 SFLPP,它需要最大化真值,最小化不确定性和虚假性的成员函数。这项研究引入了一个数学模型,其中包括城市固体废物管理的所有主要组成部分。为了应对不确定性,城市固体废物管理的数学模型使用球形模糊环境进行定义。本研究的目标是确定印度旁遮普省迪南纳加尔地区的废物管理现状。最后,该数学模型将用于印度旁遮普省迪纳纳加尔市研究区域的长期废物管理。将建议的模型与当前框架进行比较的结果表明,新模型在可持续性方面提供了更好的解决方案。
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Mathematical Modelling Of Municipal Solid Waste Management In Spherical Fuzzy Environment
A Spherical fuzzy model induced with teaching learning based optimization technique is developed for supporting the municipal solid waste management under fuzzy environment. Spherical fuzzy set’s ability to capture imprecise and contradictory information results in a substantial contribution to decision-making issues. Thus, we introduce SFLPP in a spherical fuzzy environ-ment in this article, which entails maximization of truthiness and minimization of indeterminacy and falsity membership functions.In present era TLBO is gaining the popularity of being less complex and only two algorithmic parameters based algorithm. This study introduced a mathematical model to include all of the major components of municipal solid waste management. To deal with uncertainty, the mathematical model of municipal solid waste management is defined using a spherical fuzzy environment.The goal of this research is to determine the current state of waste management in the Dinanagar area of Punjab, India. Finally,the mathematical model is in possession of long-term waste management in the study area, Dinanagar city in Punjab, India. The findings of comparing the suggested model to the current framework show that the new model provides better solutions in terms of sustainability.
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