Method of similarity measure based on projectivity and distance of Vague sets

doi:10.3778/j.issn.1002-8331.2010.26.010

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (26): 31-33.DOI: 10.3778/j.issn.1002-8331.2010.26.010

• 研究、探讨 • Previous Articles Next Articles

Method of similarity measure based on projectivity and distance of Vague sets

LIU Lⁱ¹，WU Hua-jian¹，PENG Fang-yan²，XU Shuang¹

1.Department of Mathematics and Computer Science，Yulin Normal University，Yulin，Guangxi 537000，China
2.College of Computer and Electronic Information，Guangxi University，Nanning 530004，China

Received:2009-12-16 Revised:2010-03-22 Online:2010-09-11 Published:2010-09-11
Contact: LIU Li

基于Vague集投影及距离的相似度量方法

刘力¹，伍华健¹，彭芳艳²，徐霜¹

1.玉林师范学院数学与计算机科学系，广西玉林 537000
2.广西大学计算机与电子信息学院，南宁 530004

通讯作者: 刘力

Abstract

Abstract: A new similarity measure method is given based on the concept of projectivity and distance of Vague sets.Then，combined with the two-dimensional graphics，it illustrates that the larger the projectivity and the shorter the distance，the larger the similarity measure.Later，it proves that the method satisfies all the restrict conditions.Finally，it shows that the method is effective by comparing with the existing methods.

Key words: Vague sets, similarity measure, projectivity, distance

摘要： 根据Vague集距离及投影的概念，提出了一种新的相似度量方法，结合二维图形说明投影越大、距离越小，Vague集之间的相似度就越大，接着证明了该方法满足相似度量的约束条件，最后通过与已有方法的比较说明该方法的有效性。

关键词: Vague集, 相似度量, 投影, 距离

CLC Number:

TP18

LIU Lⁱ¹，WU Hua-jian¹，PENG Fang-yan²，XU Shuang¹. Method of similarity measure based on projectivity and distance of Vague sets[J]. Computer Engineering and Applications, 2010, 46(26): 31-33.

刘力¹，伍华健¹，彭芳艳²，徐霜¹. 基于Vague集投影及距离的相似度量方法[J]. 计算机工程与应用, 2010, 46(26): 31-33.

[1]	LI Li, JI Xinyuan, SONG Song. Prediction Model for Number of Software Defects in Loop [J]. Computer Engineering and Applications, 2021, 57(7): 158-163.
[2]	DAI Qi, LI Min, LIU Yang, LI Lihong. Fast Attribute Reduction Algorithm Based on Fuzzy Hierarchical Quotient Space [J]. Computer Engineering and Applications, 2021, 57(4): 55-60.
[3]	ZHANG Junjie, ZHANG Cong, ZHAO Hanjie. Dueling Deep Q Network Algorithm with State Value Reuse [J]. Computer Engineering and Applications, 2021, 57(4): 134-140.
[4]	TAO Tiwei, LIU Mingxia, WANG Mingliang, WANG Linlin, YANG Deyun, ZHANG Qiang. Effective Distance Based Low-Rank Representation [J]. Computer Engineering and Applications, 2021, 57(4): 141-147.
[5]	WANG Fuyin, ZHANG Desheng, ZHANG Xiao. Adaptive Density Peaks Clustering Algorithm Combining with Whale Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(3): 94-102.
[6]	SHI Zhengyu, CHEN Renwen, HUANG Bin. Low-Resolution Face Recognition Based on Self-Normalizing Neural Network [J]. Computer Engineering and Applications, 2021, 57(3): 137-143.
[7]	ZHANG Zhonglin, ZHAO Yu, YAN Guanghui. Natural Neighbor Density Extremum Clustering Algorithm [J]. Computer Engineering and Applications, 2021, 57(23): 200-210.
[8]	WEN Zeyu, XIE Jun, XIE Gang, XU Xinying. Multi-objective Sparrow Search Algorithm Based on New Crowding Distance [J]. Computer Engineering and Applications, 2021, 57(22): 102-109.
[9]	CHENG Jingyi, DUAN Xianhua, ZHU Wei. Research on Metal Surface Defect Detection by Improved YOLOv3 [J]. Computer Engineering and Applications, 2021, 57(19): 252-258.
[10]	JIANG Wenjie, LUO Xiaoshu, DAI Qinxuan. Research on Face Super-Resolution Reconstruction Algorithm Based on Generative Adversarial Networks [J]. Computer Engineering and Applications, 2021, 57(11): 219-223.
[11]	FAN Jianping, CHENG Rui, WU Meiqin. Distance Measure of Interval-Valued Complex Fuzzy Soft Sets and Its Application [J]. Computer Engineering and Applications, 2020, 56(9): 248-259.
[12]	AN Ning, JIANG Siyuan, TANG Chen, YANG Jiaoyun. Clustering Method by Combining Simplex Mapping and Entropy Weighting [J]. Computer Engineering and Applications, 2020, 56(9): 148-155.
[13]	YUAN Fang, YANG Youlong. Improved Distance Formula of [K]-modes Clustering Algorithm for Mixed Categorical Attribute Data [J]. Computer Engineering and Applications, 2020, 56(6): 186-193.
[14]	TANG Yucun, LI Jinzhong, LIN Andi, KUANG Shaolong. Method for Measuring Robot Pose Accuracy Based on Coordinate Measuring Machine [J]. Computer Engineering and Applications, 2020, 56(5): 257-262.
[15]	WANG Zilong, LI Jin, SONG Yafei. Improved K-means Algorithm Based on Distance and Weight [J]. Computer Engineering and Applications, 2020, 56(23): 87-94.

Method of similarity measure based on projectivity and distance of Vague sets

基于Vague集投影及距离的相似度量方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics