Title :
Medoids in fuzzy computation
Author :
Mohan, Chilukuri K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Abstract :
The median has long been known as a measure more robust than the arithmetic mean as a stable estimator insensitive to problems such as outliers or extreme values. This paper suggests the application of median-related measures to fuzzy computation, especially in defuzzification and in combining fuzzy membership degrees
Keywords :
fuzzy set theory; arithmetic mean; defuzzification; extreme values; fuzzy computation; fuzzy membership degrees; fuzzy set theory; median-related measures; medoids; outliers; stable estimator; Application software; Computer science; Digital arithmetic; Electric variables measurement; Fuzzy sets; Hybrid intelligent systems; Message-oriented middleware; Noise measurement; Proposals; Robustness;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877467
