The Ranking Function for fuzzy parameters of Rayleigh Distribution

dc.contributor.author	Rehab Noori Shalan
dc.contributor.author	Sundos Bader Habeeb
dc.contributor.author	Rana A. Mohammed
dc.date.accessioned	2026-01-02T11:47:13Z
dc.date.issued	2022-10-22
dc.description.abstract	This research deals with estimating the parameters for the generalized Rayleigh distribution depending on the maximum likelihood estimator method.Employing the real data to obtain the confidence intervals estimation for all parameters in generalized Rayleigh distribution. Fuzzy numbers will be construct from the trapezoidal membership function for this confidence interval of all parameters. Finally the ranking function algorithm using to convert the fuzzy numbers in to crisp (trapezoidal) fuzzy numbers and its applied to find the probability density function and survival function.
dc.format	application/pdf
dc.identifier.uri	https://geniusjournals.org/index.php/ejpcm/article/view/2440
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/78000
dc.language.iso	eng
dc.publisher	Genius Journals
dc.relation	https://geniusjournals.org/index.php/ejpcm/article/view/2440/2097
dc.source	Eurasian Journal of Physics,Chemistry and Mathematics; Vol. 11 (2022): EJPCM; 44-50
dc.source	2795-7667
dc.subject	Fuzzy number
dc.subject	Density function
dc.subject	Survival function
dc.subject	Maximum Likelihood estimation
dc.title	The Ranking Function for fuzzy parameters of Rayleigh Distribution
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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