CARDIOVASCULAR RISK ASSESSMENT USING INTUITIONISTIC FUZZY LOGIC SYSTEM

被引：0
作者：
Mirza, Sarfaraj [1 ]
Gujarathi, Trupti [1 ]
Bhole, Kalyani [1 ]
机构：
[1] Coll Engn, Dept Instrumentat & Control, Pune, Maharashtra, India
来源：
2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) | 2019年
关键词：
Fuzzy Logic; Fuzzy Set; Intuitionistic Fuzzy Set(IFS); Intuitionistic Fuzzy Inference System (IFIS); Hesitant membership function(HMF); Non-membership function(NMF); Medical diagnosis; SET;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
For complex, ill-defined problems, where the uncertainty lies, fuzzy logic is the best suitable methodology to work with. We can achieve a certain level of accuracy and precision by accepting uncertainty. An Intuitionistic fuzzy logic represents imperfect knowledge that lies while dealing with real-life problems. For example, in decision making human opinion has two or more answers such as "may not be", "might be" etc. In such a case human opinion is not firm or has some hesitancy in decision making. An intuitionistic fuzzy logic system can deal with this hesitancy and uncertainty that appears in the real world problems. This paper reviews on intuitionistic fuzzy set, its operations, intuitionistic fuzzy logic system and different applications with a case study in healthcare diagnosis.
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页数：7
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