Modelling Medical Uncertainties with Use of Fuzzy Sets and Their Extensions

被引：11
|
作者：
Zywica, Patryk [1 ]
机构：
[1] Adam Mickiewicz Univ, Fac Math & Comp Sci, Poznan, Poland
来源：
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: APPLICATIONS, IPMU 2018, PT III | 2018年 / 855卷
关键词：
Medical data; Hesitant Fuzzy Sets; Imperfect information; INCOMPLETE DATA; DIAGNOSIS;
D O I：
10.1007/978-3-319-91479-4_31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work presents an approach to deal with uncertainty in patient's medical record. After giving a brief characterisation of possible sources of uncertainty in medical records, the paper introduces fuzzy set based approach that allows modelling of such information. First, heterogeneous data is converted to homogeneous model with the use of Feature Set structure. With such model uncertainty may be represented directly as Fuzzy Membership Function Families (FMFFs). Some theoretical results connecting FMFFs with Hesitant Fuzzy Sets and Type-2 Fuzzy Sets are also given.
引用
收藏
页码：369 / 380
页数：12
相关论文
共 50 条
12345