Hedge Algebra Based Type-2 Fuzzy Logic System and its Application to Predict Survival Time of Myeloma Patients

Author

Phong, Phan Anh ; Dong, Dinh Khac ; Khang, Tran Dinh

Author_Institution

Fac. of Inf. Technol., Vinh Univ., Vinh, Vietnam

fYear

2009

fDate

13-17 Oct. 2009

Firstpage

13

Lastpage

18

Abstract

In this paper, we propose a method to construct hedge algebra based type-2 fuzzy logic systems (HA-T2FLS). In these fuzzy logic systems, the footprints of uncertainty (FOU) of type-2 fuzzy sets are optimized by genetic algorithm and the dispersion of data. The key ingredient of our system is the concept of centroid of hedge algebra based type-2 fuzzy sets. It is used in the type-reducing of the HA-T2FLS, and transforming interval type-2 fuzzy sets to hedge algebra based type-2 fuzzy sets. As an application, we show how hedge algebra based type-2 fuzzy logic systems can be used to predict survival time of myeloma patients. The results show that hedge algebra based type-2 fuzzy logic systems are more accurate than type-1 and interval type-2 fuzzy logic systems in this class of problems.

Keywords

algebra; cancer; fuzzy logic; fuzzy set theory; genetic algorithms; patient care; patient monitoring; uncertain systems; footprints of uncertainty; genetic algorithm; hedge algebra based type-2 fuzzy logic system; myeloma patients; survival time prediction; type-2 fuzzy sets; Algebra; Artificial intelligence; Digital signal processing; Fuzzy logic; Fuzzy sets; Genetic algorithms; Information technology; Knowledge engineering; Systems engineering and theory; Uncertainty; Genetic algorithm; Hedge algebra; Hedge algebra based type-2 fuzzy logic system; Prediction problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge and Systems Engineering, 2009. KSE '09. International Conference on

Conference_Location

Hanoi

Print_ISBN

978-1-4244-5086-2

Electronic_ISBN

978-0-7695-3846-4

Type

conf

DOI

10.1109/KSE.2009.22

Filename

5361738