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

  • Authors:

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

  • Affiliations:

  • -;-;-

  • Venue:
  • KSE '09 Proceedings of the 2009 International Conference on Knowledge and Systems Engineering
  • Year:
  • 2009

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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.