A Type of Score Function on Intuitionistic Fuzzy Sets with Double Parameters and Its application to Pattern Recognition and Medical Diagnosis

被引：16

作者：

Zhang, Zhenhua ^{[1
]}

Yang, Jingyu ^{[1
]}

Ye, Youpei ^{[1
]}

Hu, Yong

Zhang, Qiansheng

机构：

[1] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

intuitionistic fuzzy sets; intuitionistic fuzzy sets with parameters; intuitionistic fuzzy sets with double parameters; score function; pattern recognition; medical diagnosis; SIMILARITY MEASURES; DISTANCES;

D O I：

10.1016/j.proeng.2012.01.667

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this paper, we first present a novel intuitionistic fuzzy set with double parameters (IFSDP). Compared with intuitionistic fuzzy sets (IFS), IFSDP can provide membership function with parameters, non-membership function with parameters, and hesitancy function with parameters. Based on IFS and IFSDP, we propose a type of score function, which is more effective than conventional distance measure method and similarity measure method by a pattern recognition example. Finally, based on the score function of IFSDP, a pattern recognition example applied to medical diagnosis is given to illustrate the application of IFSDP and its score. The simulation results show that the method of IFSDP is more comprehensive and flexible than the traditional IFS method. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology

引用

页码：4336 / 4342

页数：7

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