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. © 2008 IEEE.
Recommended Citation
J. Liu et al., "New method for approximating Vague Sets to Fuzzy Sets based on voting model," 2008 IEEE International Conference on Cybernetics and Intelligent Systems Cis 2008, pp. 869 - 872, article no. 4670961, Institute of Electrical and Electronics Engineers, Jan 2008.
The definitive version is available at https://doi.org/10.1109/ICCIS.2008.4670961
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Fuzzy approximation; Fuzzy sets; Gauss distribution; Uncertain information; Vague sets
International Standard Book Number (ISBN)
978-142441674-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2008
