A simple method for computing the entropy of the product of general fuzzy intervals

Leh Luoh and Wen-June Wang

Mathematics and Computers in Simulation (MATCOM), 2001, vol. 58, issue 1, 37-49

Abstract: Entropy is generally a measurement of the fuzziness degree for a fuzzy set. This paper studies the entropy calculation of the standard product of two general fuzzy intervals, i.e. C=A×B, and then provides some simple formulas to get the entropy of the product C. Those formulas are composed of the locations of critical points of the fuzzy intervals A and B. By the formulas, the calculation of the membership function of the product C is not needed any more, and the fuzziness estimation of the product of two arbitrary fuzzy intervals can be obtained quickly and effectively.

Keywords: Entropy; Measures of fuzziness; Fuzzy intervals; Fuzzy numbers (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475401003184
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:58:y:2001:i:1:p:37-49

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().