Moderator Intuitionistic Fuzzy Sets and Application in Medical Diagnosis

被引:6
|
作者
Joshi, Bhagawati Prasad [1 ]
Kharayat, Pushpendra Singh [1 ]
机构
[1] Seemant Inst Technol, Pithoragarh 262501, Uttarakhand, India
来源
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 2 | 2016年 / 380卷
关键词
Intuitionistic fuzzy sets; Accuracy function; Score function; Medical diagnosis; AGGREGATION;
D O I
10.1007/978-81-322-2523-2_16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The notion of intuitionistic fuzzy sets (IFSs) helps to an observer to incorporate the hesitancy value in the degree of membership function. The hesitancy factor comes from his basic knowledge, past experience, situation, depth of the standard terminologies, and many more characteristics; so the degree of membership function involved uncertainty under IFSs. Hence, the uncertainty included with an observer in the choice of membership grade under IFSs needs to be further improved by a moderator parameter to make the uncertain behavior more accurate. This can be done by introducing the concept of moderator intuitionistic fuzzy set (MIFS) as a generalization of IFSs. Furthermore, some properties and operators are defined over MIFSs similar to IFSs. Finally, a real-life problem of medical diagnosis is considered to apply the proposed approach effectively.
引用
收藏
页码:171 / 179
页数:9
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