Analyzing and extending hierarchical systems of linguistic rules

O. Cordón, F. Herrera, I. Zwir

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

In this paper we propose an approach to design linguistic models which are accurate to a high degree. To do so, we use an extension of the structure of the Knowledge Base of Fuzzy Rule Base Systems, i.e., a more flexible Hierarchical Knowledge Base. This flexibility will allow us to have linguistic rules defined over linguistic partitions with different granularity levels, and thus to improve the modeling of those problem subspaces where the former models have bad performance. The methodology proposed in this paper has been thought as an extension of a previous Two-level methodology -two hierarchical levels-. First, we extend it by developing an Iterative Hierarchical Systems of Linguistic Rules learning methodology with the purpose of performing an accurate refinement of linguistic models in each step of an iterative process -more than two levels-. Later, we extend the Hierarchical Rule Base structure making it more flexible, reinforcing the action of a rule in the subspace where it is defined. This will be performed by allowing the use of weighted and double-consequent reinforced rules.

Original languageEnglish
Pages1121-1126
Number of pages6
StatePublished - Dec 1 2001
Externally publishedYes
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: Jul 25 2001Jul 28 2001

Conference

ConferenceJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period07/25/0107/28/01

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    Cordón, O., Herrera, F., & Zwir, I. (2001). Analyzing and extending hierarchical systems of linguistic rules. 1121-1126. Paper presented at Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, BC, Canada.