An approach for the generation and adaptation of zSlices based general type-2 fuzzy sets from interval type-2 fuzzy sets to model agreement with application to Intelligent Environments
An approach for the generation and adaptation of zSlices based general type-2 fuzzy sets from interval type-2 fuzzy sets to model agreement with application to Intelligent Environments
复制标题
一种基于 zSlices 的通用 2 类模糊集的生成和适应方法，从区间 2 类模糊集到智能环境应用的模型协议
DOI：
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发表时间：
2010
期刊：
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通讯作者：
H. Hagras
中科院分区：
文献类型：
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作者：
Christian Wagner;H. Hagras
本文提出了一种基于区间2型模糊集的“一致性”概念，利用一系列区间2型模糊集生成基于zSlices的一般2型模糊集的新技术。我们详细介绍了如何将这种方法应用于一系列现成的区间2型模糊集，以及如何使用所提出的方法来生成基于zSlices的一般2型模糊集，这些模糊集随着时间的推移随着新的区间2型模糊集的出现而不断更新。我们还描述了在环境智能环境（AIEs）背景下提出的方法，说明了持续更新的一般2型隶属函数的好处及其相对于基于区间2型模糊逻辑的方法的潜在优势。随后，我们展示了基于三角区间2型模糊集的方法，并强调了所提出的技术在实现方面的剩余复杂性和复杂性，这些复杂性源于创建非凸模糊集的潜力，并提出了这些问题的解决方案。
In this paper, we present a novel technique to generate zSlices based general type-2 fuzzy sets using a series of interval type-2 fuzzy sets based around the notion of "agreement" of interval type-2 fuzzy sets. We provide details on how this approach can be applied for a series of readily available interval type-2 fuzzy sets as well as how the proposed approach can be employed to generate zSlices based general type-2 fuzzy sets which are continually updated as new interval type-2 fuzzy sets become available over time. We also describe the proposed approach in the context of Ambient Intelligent Environments (AIEs) which illustrate the benefits of a continuously updated general type-2 membership function and its potential advantage over interval type-2 fuzzy logic based approaches. Subsequently, we demonstrate the approach based on triangular interval type-2 fuzzy sets and we highlight the remaining complexities and complications in terms of the implementation of the proposed technique which stem from the potential for the creation of non-convex fuzzy sets and propose solutions for these problems.