Aggregation Networks for Uncertainty Management
Abstract
In this project, two methodologies for evidence aggregation and information fusion were studied. One methodology uses fuzzy-set-theoretic connectives in a hierarchical network to achieve the fusion. Learning methods for determining the nature and structure of the networks are investigated. The second methodology uses a generalization of the fuzzy integral to achieve the fusion. In addition, various techniques for membership function generation (including fuzzy clustering methods), fuzzy logic inference and morphological edge detection and fusion were investigated.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 25, 1991
- Accession Number
- ADA244399
Entities
People
- James M. Keller
- Raghu Krishnapuram
Organizations
- University of Missouri