UNCERTAINTY EVALUATION VIA FUZZY ENTROPY FOR MULTIPLE FACTS

Authors

  • Sanghyuk Lee Xi’an Jiaotong-Liverpool University
  • T.O. Ting Xi’an Jiaotong-Liverpool University

DOI:

https://doi.org/10.7903/ijecs.1124

Keywords:

multiple facts, fuzzy entropy, decision making, similarity measure

Abstract

The fuzzy entropy designed for multiple facts selection has been carried out in this work. The entropy for the fuzzy data with respect to a specified fact is designed through a distance measure method. The obtained fuzzy entropy is then applied for the selection from multiple facts. From the relevant fuzzy entropy, it is concluded that data uncertainty information is limited by the total fact of n-1. The bounded calculation of data uncertainty to each fact is proven for multiple facts, and the decision of fuzzy data to the certain fact among multiple facts has been considered with the assistance of fuzzy entropy calculation.

To cite this document: Sanghyuk Lee and T.O. Ting, "Uncertainty evaluation via fuzzy entropy for multiple facts", International Journal of Electronic Commerce Studies, Vol.4, No.2, pp. 313-322, 2013.

Permanent link to this document:
http://dx.doi.org/10.7903/ijecs.1124

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Published

2014-05-15

Issue

Vol. 4 No. 2 (2013)

Section

Regular Articles