In this study, a different approach is presented for estimating population size. For estimate of population size, fuzzy linear regression models in inverse prediction methods are suggested with the data, dependent and fuzzy observations, obtained from capture-recapture sequential sampling process. In this study, two different fuzzy models are investigated on an example and then the required assumptions of these models are determined.
Bu çalışmada yığın hacminin tahmini için farklı bir yaklaşım sunulmaktadır. Yığın hacminin tahmini için yakalama-tekrar yakalama yöntemiyle elde edilen bağımlı ve bulanık gözlemlere dayanan ters tahmin yönteminde bulanık doğrusal regresyon modelleri önerilmektedir. Bu çalışmada, iki farklı bulanık model bir örnek üzerinde tartışılmış ve bu modeller için varsayımlar belirlenmiştir.
Other ID | JA58RM83ZT |
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Journal Section | Research Articles |
Authors | |
Publication Date | June 1, 2003 |
Submission Date | June 1, 2003 |
Published in Issue | Year 2003 Volume: 1 Issue: 22 |
Journal Owner: On behalf of Selçuk University Faculty of Science, Rector Prof. Dr. Hüseyin YILMAZ
Selcuk University Journal of Science Faculty accepts articles in Turkish and English with original results in basic sciences and other applied sciences. The journal may also include compilations containing current innovations.
It was first published in 1981 as "S.Ü. Fen-Edebiyat Fakültesi Dergisi" and was published under this name until 1984 (Number 1-4).
In 1984, its name was changed to "S.Ü. Fen-Edeb. Fak. Fen Dergisi" and it was published under this name as of the 5th issue.
When the Faculty of Letters and Sciences was separated into the Faculty of Science and the Faculty of Letters with the decision of the Council of Ministers numbered 2008/4344 published in the Official Gazette dated 3 December 2008 and numbered 27073, it has been published as "Selcuk University Journal of Science Faculty" since 2009.
It has been scanned in DergiPark since 2016.
Selcuk University Journal of Science Faculty is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.