A Type-2 Fuzzy Expert System for Diagnosis of Leukemia

被引：7
|
作者：
Asl, Ali Akbar Sadat [1 ]
Zarandi, Mohammad Hossein Fazel [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Ind Engn, Tehran, Iran
来源：
FUZZY LOGIC IN INTELLIGENT SYSTEM DESIGN: THEORY AND APPLICATIONS | 2018年 / 648卷
关键词：
Leukemia; Type-2; fuzzy; Expert system;
D O I：
10.1007/978-3-319-67137-6_6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Medical field, especially in the diagnosis and treatment, is facing with inherent uncertainty. Causes of leukemia can be different factors that determining of them is with uncertainty. Owing to the high potential of the fuzzy expert systems for managing uncertainty associated to the medical diagnosis, in this paper, we propose a type-2 fuzzy expert system for Leukemia diagnosis. In this system, we use Mamdani-style inference that has high interpretability to clarify the results of system to experts. The classification accuracy of the type-2 fuzzy system for Leukemia diagnosis has obtained about 94% which demonstrate its capability for helping experts to early diagnosis of the disease.
引用
收藏
页码：52 / 60
页数：9
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