Title :
Type-2 fuzzy diagnosis
Author :
Innocent, P.R. ; John, R.I.
Author_Institution :
Dept. of Comput. Sci., De Montfort Univ., Leicester, UK
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper describes a computationally fast and simple algorithm that produces an index of support for the diagnosis of diseases based on type-2 fuzzy sets. The procedure allows the specification of fuzzy symptoms by using fuzzy relations to determine a symptom´s strength based on its observed intensity and the certainty of its duration. We formally describe the fuzzy approach and the algorithm, and show how it relates to a disease given a range of symptom strengths
Keywords :
diagnostic reasoning; diseases; fuzzy logic; fuzzy set theory; medical diagnostic computing; uncertainty handling; disease diagnosis support index; duration certainty; fuzzy relations; fuzzy symptoms specification; observed intensity; symptom strength determination; type-2 fuzzy diagnosis; type-2 fuzzy sets; Computational intelligence; Computer science; Data acquisition; Decision support systems; Diseases; Fuzzy sets; Gravity; Medical diagnostic imaging; Medical services; Testing;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006696
