Interactive Visualization of Fuzzy Set Operations

被引:2
作者
Park, Yeseul [1 ]
Park, Jinah [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Comp Graph & Visualizat Lab, Taejon 305732, South Korea
来源
VISUALIZATION AND DATA ANALYSIS 2010 | 2010年 / 7530卷
关键词
visualization; fuzzy data; fuzzy set operation; diagram;
D O I
10.1117/12.840229
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fuzzy sets refer to the datasets which do not have separate, distinct clusters, and they contain data elements whose membership values are between 0 and 1. Often each element belongs to several groups. We design a disk diagram with an augmented frequency graph to visualize elements in a fuzzy set. It shows the distribution of the elements within the set with respect to the membership function value. Fuzzy set operations-like intersection-are used to find the elements of interests with certain degree of confidence. However, few techniques exist for visualization of fuzzy set operations whose process and result provide both the relationship and the distribution of individual data point between sets. With the proposed disk diagram representing a fuzzy set, we suggest an interactive visualization system to analyze fuzzy data and grasp the relationship among the sets. By interactively overlapping the disk diagrams, a user can not only bring out the individual elements of interests, but also overview the whole data elements associated with the sets. Furthermore, we investigated two different visualization scenarios for intuitive interpretation of the visualization results. We demonstrate the proposed visualization system with a terrorist analysis output dataset.
引用
收藏
页数:12
相关论文
共 9 条
[1]  
[Anonymous], 2005, Illuminating the path: The research and development agenda for visual analytics (Tech. Rep.)
[2]   Visualizing high dimensional fuzzy rules [J].
Berthold, MR ;
Holve, R .
PEACHFUZZ 2000 : 19TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 2000, :64-68
[3]  
BERTHOLD MR, 2003, IEEE T FUZZY SYSTEMS, V11
[4]   Visualizing membership in multiple clusters after fuzzy c-means clustering [J].
Cox, Z ;
Dickerson, JA ;
Cook, D .
VISUAL DATA EXPLORATION AND ANALYSIS VIII, 2001, 4302 :60-68
[5]  
Fua Y H., 1999, Proc. of the conference on Visualization, P43, DOI DOI 10.1109/VISUAL.1999.809866
[6]  
Nielson J., 1993, USABILITY ENG
[7]   Visualisation of fuzzy systems: requirements, techniques and framework [J].
Pham, B ;
Brown, R .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2005, 21 (07) :1199-1212
[8]  
Reas Casey, 2007, Processing: A Programming Handbook for Visual Designers and Artists
[9]   FUZZY SETS [J].
ZADEH, LA .
INFORMATION AND CONTROL, 1965, 8 (03) :338-&