"Computing the Range of Variance-to-Mean Ratio under Interval and Fuzzy" by Sio-Long Lo and Gang Xiang

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Departmental Technical Reports (CS)

Title

Computing the Range of Variance-to-Mean Ratio under Interval and Fuzzy Uncertainty

Authors

Sio-Long Lo, Macau University of Science and Technology
Gang Xiang, University of Texas at El Paso

Publication Date

12-2010

Comments

Technical Report: UTEP-CS-10-28a

Published in Proceedings of the 30th Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2011, El Paso, Texas, March 18-20, 2011.

Abstract

In many practical problems such as radar imaging, it is useful to compute the variance-to-mean ratio. The need is important because for the sum of k identical independent signal components, both the variance and the mean are multiplied by k, so this ratio is independent on k and thus, provides useful information about the components. In practice, we only know the samples values with uncertainty. It is therefore necessary to compute the variance-to-mean ratio under this uncertainty. In this paper, we present efficient algorithms for computing this ratio under interval and fuzzy uncertainty.

tr10-28.pdf (84 kB)
Original file: CS-UTEP-10-28

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