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Inexact rough-interval type-2 fuzzy stochastic optimization model supporting municipal solid waste management under uncertainty

机译:不确定下市固体废物管理的不精确粗糙间隔Type-2模糊随机优化模型

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摘要

In this study, an inexact rough-interval type-2 fuzzy stochastic linear programming (IRIT2FSLP) approach is developed for addressing uncertainties presented as rough-interval, type-2 fuzzy and random variables. The proposed method is applied to the case of a long-term municipal solid waste management system. The IRIT2FSLP approach is an extension of the inexact interval linear programming for handling nonlinear stochastic optimization problems where rough-interval and type-2 fuzzy parameters are integrated into a general framework. The results indicate that IRIT2FSLP normally leads to rough-interval solutions. Comparisons of the proposed model with scenarios without rough-interval and type-2 fuzzy parameters are also conducted. The results indicate the significant impact of dual-uncertain information on the system, which implies the reliability of IRIT2FSLP in handling waste flow allocation.
机译:在本研究中,开发了一种不精确的粗略间隔类型-2模糊转换线性编程(IRIT2FSLP)方法,用于解决粗略间隔,2型模糊和随机变量呈现的不确定性。 该提出的方法适用于长期市政固体废物管理系统的情况。 IRIT2FSLP方法是用于处理非线性随机优化问题的不精确间隔线性规划的扩展,其中粗略间隔和2型模糊参数集成到一般框架中。 结果表明,Irit2FSLP通常导致粗糙间隔解决方案。 还进行了没有粗略间隔和类型模糊参数的情况的提出模型的比较。 结果表明双不确定信息对系统的重大影响,这意味着Irit2FSLP在处理废物流分配方面的可靠性。

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