An investigation into alternative methods for the defuzzification of an interval type-2 fuzzy set.
The number of applications of interval type-2 fuzzy logic to real world problems is growing. To date such systems have used type-reduction or an approximation of typereduction to arrive at final crisp output from the system. This paper describes the novel direct defuzzifier for interval type-2 fuzzy sets. A number of fuzzy systems are compared with direct defuzzifier. We compare each defuzzifiers output surface in a simple rule-based system. The direct defuzzifier compares favourably with the type-reduction method under the minimum t-norm. Also, we found that the non-stationary approach provided interesting results.
Citation : Coupland, S. and John, R.I. (2006) An investigation into alternative methods for the defuzzification of an interval type-2 fuzzy set. 2006 IEEE International Conference on Fuzzy Systems, pp. 1425-1432.
ISBN : 9780780394889
ISSN : 1544-5615
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)