基于对冲代数的2型模糊逻辑系统及其在骨髓瘤患者生存时间预测中的应用

Phan Anh Phong, Dinh Khac Dong, T. D. Khang
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引用次数: 6

摘要

本文提出了一种构造基于对冲代数的2型模糊逻辑系统的方法。在这些模糊逻辑系统中,利用遗传算法和数据的离散性对2型模糊集的不确定性足迹(FOU)进行优化。该系统的关键组成部分是基于对冲代数的2型模糊集的质心概念。将其应用于HA-T2FLS的约型,并将区间2型模糊集转化为基于套期代数的2型模糊集。作为一个应用,我们展示了如何利用基于对冲代数的2型模糊逻辑系统来预测骨髓瘤患者的生存时间。结果表明,在这类问题中,基于套期代数的2型模糊逻辑系统比1型和区间2型模糊逻辑系统更精确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hedge Algebra Based Type-2 Fuzzy Logic System and its Application to Predict Survival Time of Myeloma Patients
In this paper, we propose a method to construct hedge algebra based type-2 fuzzy logic systems (HA-T2FLS). In these fuzzy logic systems, the footprints of uncertainty (FOU) of type-2 fuzzy sets are optimized by genetic algorithm and the dispersion of data. The key ingredient of our system is the concept of centroid of hedge algebra based type-2 fuzzy sets. It is used in the type-reducing of the HA-T2FLS, and transforming interval type-2 fuzzy sets to hedge algebra based type-2 fuzzy sets. As an application, we show how hedge algebra based type-2 fuzzy logic systems can be used to predict survival time of myeloma patients. The results show that hedge algebra based type-2 fuzzy logic systems are more accurate than type-1 and interval type-2 fuzzy logic systems in this class of problems.
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