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Defuzzification of trapezoidal type-2 fuzzy variables and its application to solid transportation problem

机译:梯形2型模糊变量的模糊化及其在固体运输中的应用

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摘要

The main proposal of this paper is to derive two different reduction process for a trapezoidal type-2 fuzzy number. The first reduction method is based on critical values and the second method is based on alpha-cut of fuzzy number. As an application a multi-objective solid transportation problem, minimizing the cost and time has been developed using trapezoidal type-2 fuzzy number as system parameters and hereby solved. Finally after solving the proposed multi-objective problem by intuitionistic fuzzy programming technique a comparison between the two proposed reduction methods are discussed briefly. The proposed models and techniques are finally illustrated by providing numerical examples at the end. Also this paper present a comparative study between the proposed method to the KM algorithm and NT method for type reduction.
机译:本文的主要建议是为梯形2型模糊数推导两个不同的约简过程。第一种减少方法基于临界值,第二种方法基于模糊数的alpha割。作为应用,已经开发了使用梯形2型模糊数作为系统参数的最小化成本和时间的多目标固体运输问题,从而解决了该问题。最后,在通过直觉模糊规划技术解决了提出的多目标问题之后,简要讨论了两种提出的归约方法之间的比较。最后通过提供数字示例对提出的模型和技术进行了最终说明。本文还对KM算法和NT方法用于类型缩减的方法进行了比较研究。

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