二类模糊变量的解模糊方法及其在交通问题中的应用

2017 5th International Symposium on Computational and Business Intelligence (ISCBI) Pub Date : 2017-08-01 DOI:10.1109/ISCBI.2017.8053562

Akash Singh, U. Bera, D. Sengupta, Anirban Datta, Amrit Das

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引用次数: 1

摘要

本文主要研究的是二类伽马模糊变量的解模糊化方法。为此，我们提出了利用基于CV的约简方法对2型γ模糊变量进行除雾的技术。本文还着重讨论了二类模糊变量特别是二类伽玛模糊变量的应用意义。本文采用一个运输问题(TP)来执行所提出的解模糊化方法。最后，从我国不同地区收集的一些真实生活数据被用于解决交通问题(TP)。通过两个实例说明了所提出的除烟方法，丰富了方法。为求解该模型，采用Lingo 13.0优化软件。最后讨论了一些管理观点，以说明结果以及未来的范围。

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Defuzzication method of type-2 gamma fuzzy variables and its application to transportation problem

The main investigation of the paper is to develop the defuzzification method of type-2 gamma fuzzy variables. For this purpose, we have proposed the deffuzification technique of type-2 gamma fuzzy variables with the help of CV based reduction method. The paper also focuses on the significance to use the type-2 fuzzy variables especially the type-2 gamma fuzzy variables. In this paper, a transportation problem (TP) has been used to perform the proposed defuzzification approach. Finally, some real life data collected from different parts of our state has been used to solve the transportation problem (TP). The proposed deffuzification method has been illustrated with two examples to enrich the method. To solve this model, Lingo 13.0 optimization software has been used. Finally some managerial views are discussed to illustrate the result along with future scope.

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2017 5th International Symposium on Computational and Business Intelligence (ISCBI)

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