Title :
New method for approximating Vague Sets to Fuzzy Sets based on voting model
Author :
Liu Jian ; Wu, Shunxiang ; Liu, Zhizhan ; Zhang, Yongjian
Author_Institution :
Dept. of Autom., Xiamen Univ., Xiamen
Abstract :
By analyzing Vague Sets voting model, we bring forth a new method for approximating Vague Sets to Fuzzy Sets, and its general process is presented in the article. In a voting model, firstly, we suppose that the abstainers must vote for once more, and the results are close studied. Then the randomicity, uncertainty, and conformity of voting are found. As we know, an abstainer may favor somebody, oppose somebody, or just abstain. In this article, we suppose the distribution of results is consistent with a normal distribution. So, we advance the new approximation method based on Gauss Distribution.
Keywords :
Gaussian distribution; approximation theory; fuzzy set theory; normal distribution; Gauss distribution; approximation method; fuzzy sets; normal distribution; vague sets; voting model; Artificial intelligence; Automatic control; Automation; Control system synthesis; Electronic mail; Fuzzy sets; Gaussian distribution; TV; Uncertainty; Voting; Fuzzy Sets; Fuzzy approximation; Gauss distribution; Vague Sets; uncertain information;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670961