@inproceedings{7457e71976b34022b7272266dba4dbf9,
title = "The evaluation of data uncertainty and entropy analysis for multiple events",
abstract = "In this paper, data analysis for multiple facts was carried out via fuzzy entropy. The entropy for the fuzzy data with respect to multiple facts was designed through distance measure. The obtained fuzzy entropy was used to analyze the uncertainties with respect to each fact. By summarizing fuzzy entropy, data uncertainty information was limited by the total fact (n) minus one, that is, n -1. The bounded calculation of data uncertainty to each fact was also proven for multiple facts and the decision of fuzzy data to the certain fact among multiple facts has been considered with the help of fuzzy entropy calculation.",
keywords = "Decision making, Fuzzy entropy, Multiple facts, Similarity measure",
author = "Sanghyuk Lee and Ting, \{T. O.\}",
year = "2012",
doi = "10.1007/978-3-642-31020-1\_21",
language = "English",
isbn = "9783642310195",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "175--182",
booktitle = "Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings",
edition = "PART 2",
note = "3rd International Conference on Swarm Intelligence, ICSI 2012 ; Conference date: 17-06-2012 Through 20-06-2012",
}