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University of Saskatchewan, Department of Computer Science

2001-2002 Seminar Series

Computing Responses of Multi-Input Decision Rules with Information Gain and Fuzzy Integral

Tuan Pham
Research Scientist
Australian Defence Research Labs
Canberra, Australia

DEPARTMENT SEMINAR
DATE: Monday, April 8, 2002
TIME: 3:30pm
PLACE: Anthropology 132
*** Everyone is welcome ***

Abstract

Fuzzy inference systems have been pervasive in many areas of applications concerning machine learning and decision analysis where numerical computation and human heuristics integrate. This paper introduces an approach for computing the implications of fuzzy rules that consist of multiple input variables. Input variables are partitioned on the basis of information gain, and multiple secondary input attributes are computed by fuzzy measures and the Choquet fuzzy integral. The proposed model is computationally efficient in both capturing and aggregating attributes at detailed levels.

About the speaker

Dr. Pham's research areas and interests include fuzzy logic, genetic algorithms, neural networks, relaxation labelling, geostatistics, and hidden Markov models with applications to pattern recognition, image analysis, speaker recognition, information fusion, combination of multiple classifiers, knowledge based systems, and data mining. [an error occurred while processing this directive]