Linguistic models and linguistic modeling
Linguistic models and linguistic modeling
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DOI：
10.1109/3477.809029
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发表时间：
1999-12
期刊：
影响因子：
--
通讯作者：
W. Pedrycz;A. Vasilakos
中科院分区：
文献类型：
--
作者：
W. Pedrycz;A. Vasilakos
该研究关注的是一种语言方法来设计一种新的模糊（颗粒）模型。与数字驱动的识别技术相比，我们专注于在实验数据空间中萌芽有意义的语言标签（颗粒），并形成随后的模型，作为这些颗粒之间的关联网络。由于这种模型是在信息颗粒级设计的，并且以相同的颗粒生成结果，而不是纯数字格式，因此我们将其称为语言模型。此外，由于在以这种方式进行的语言模型的构建中没有涉及详细的数值估计过程，因此它们的设计模式可以被视为快速原型的设计模式。模型开发中使用的底层算法利用了聚类技术的增强版本（基于上下文的聚类），该技术以语言上下文的概念为中心——在数据空间（更准确地说是输入变量的空间）中定义的模糊集或模糊关系的集合。提供了详细的设计算法，并与文献中常见的标准建模方法进行了对比。本文讨论了系统建模语言模式的实用性，并借助数值研究（包括合成数据和处理宽带通信网络流量强度建模的一些时间序列）进行了说明。
The study is concerned with a linguistic approach to the design of a new category of fuzzy (granular) models. In contrast to numerically driven identification techniques, we concentrate on budding meaningful linguistic labels (granules) in the space of experimental data and forming the ensuing model as a web of associations between such granules. As such models are designed at the level of information granules and generate results in the same granular rather than pure numeric format, we refer to them as linguistic models. Furthermore, as there are no detailed numeric estimation procedures involved in the construction of the linguistic models carried out in this way, their design mode can be viewed as that of a rapid prototyping. The underlying algorithm used in the development of the models utilizes an augmented version of the clustering technique (context-based clustering) that is centered around a notion of linguistic contexts-a collection of fuzzy sets or fuzzy relations defined in the data space (more precisely a space of input variables). The detailed design algorithm is provided and contrasted with the standard modeling approaches commonly encountered in the literature. The usefulness of the linguistic mode of system modeling is discussed and illustrated with the aid of numeric studies including both synthetic data as well as some time series dealing with modeling traffic intensity over a broadband telecommunication network.