15. Linguistic Modeling
Published Online: 27 JAN 2005
Copyright © 2005 John Wiley & Sons, Inc.
Knowledge-Based Clustering: From Data to Information Granules
How to Cite
Pedrycz, W. (2005) Linguistic Modeling, in Knowledge-Based Clustering: From Data to Information Granules, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471708607.ch15
- Published Online: 27 JAN 2005
- Published Print: 7 JAN 2005
Print ISBN: 9780471469667
Online ISBN: 9780471708605
- conditional clustering;
- linguistic model;
- granular neurons;
- blueprint of linguistic model;
- linguistic output of model
The chapter shows how to construct linguistic models, viz. fuzzy models whose outputs come in the form of fuzzy sets (numbers) rather than single numeric entities. It is shown how conditional clustering forms a linguistic blueprint of the model and how it could be optimized. Further refinement of the model involving contexts as well as clusters in the input space is presented.