Paper Info
Title
On the construction of hierarchical fuzzy systems models
Abstract
A review of the basic ideas of fuzzy systems modeling is provided. We introduce a hierarchical-type fuzzy systems model called a hierarchical prioritized structure (HPS) and review its structure, operation, and the interlevel aggregation algorithm. We then turn to the issue of constructing the HPS. Consideration is first given to the case in which rules are provided by an expert. Detailed consideration is given to the problem of completing incomplete priorities by use of the principle of maximal buoyancy. A mathematical programming method is introduced for the implementation of this approach. The issue of tuning hierarchical models is addressed. We next introduce a dynamic approach to the formulation of an HPS directly from data that enables us to continually update our model as more observations become available. This approach allows a system's builder to start with a default model and include exceptions
Year
DOI
Venue
1998
10.1109/5326.661090
IEEE Transactions on Systems, Man, and Cybernetics, Part C
Keywords
DocType
Volume
dynamic approach,basic idea,interlevel aggregation algorithm,incomplete priority,detailed consideration,fuzzy systems modeling,hierarchical-type fuzzy systems model,hierarchical prioritized structure,hierarchical fuzzy systems model,hierarchical model,default model,probability distribution,entropy,modeling,fuzzy logic,mathematical model,mathematical programming,fuzzy systems,indexing terms,machine intelligence
Journal
28
Issue
ISSN
Citations 
1
1094-6977
26
PageRank 
References 
Authors
1.77
11
1
Name
Order
Citations
PageRank
Ronald R. Yager1986206.03