Yazar "Şentürk, Sevil" için listeleme
-
An Application of Fuzzy Coding in Multiple Correspondence Analysis for Transforming Data from Continuous to Categorical
Aşan, Zerrin; Şentürk, Sevil (Old City Publishing Inc, 2012)In some research, it can be necessary to know the categorical data groups to which the data measured by interval and ratio scale belong. The fuzzy sets principle can be used to transform the original continuous data into ... -
Bulanık lojistik regresyonda parametre tahminleri için yeni bir yaklaşım ve bir uygulama
Atalık, Gültekin (Anadolu Üniversitesi, 2014)Bağımlı değişken ile bağımsız değişkenler arasındaki sebep sonuç ilişkisini tanımlayan modellere, regresyon modelleri denir. Ele alınan bağımlı değişken kategorik ise bu durumda kullanılan regresyon modeline ise lojistik ... -
Bulanık mantıkta korelasyon katsayısı; meterolojik olaylarda bir uygulama
Şentürk, Sevil; Aşan, Zerrin (2007)Korelasyon iki yada daha çok sayıda değişken arasındaki ilişkiyi göstermekte ilişki miktarı ise korelasyon katsayısı ile belirlenmektedir. İki değişken arasındaki doğrusal ilişkinin derecesini belirleyen korelasyon katsayısını ... -
Construction of Fuzzy C Control Charts Based on Fuzzy Rule Method
Şentürk, Sevil (2017)A control chart is a tool for representing and to monitoring a process. A control chart also detects shifts in a process and abnormal conditions in a process. If a process is monitored by c control charts, c control charts ... -
Deney planlamasında bulanık mantık yaklaşımı
Şentürk, Sevil (Anadolu Üniversitesi, 2006)Bulanık mantıkda istatistiksel yöntemlerin kullanıldığı çalışmalar bulanık istatistik olarak adlandırılmaktadır. Bulanık mantık ve istatistiksel yöntemler birbirini tamamlayıcı yöntemler olarak ifade edilmektedir. Bu ... -
Design of Fuzzy (u)over-tilde Control Charts
Şentürk, Sevil; Erginel, Nihal; Kaya, İhsan; Kahraman, Cengiz (Old City Publishing Inc, 2011)When expressing any data in linguistic terms related to a quality characteristic, traditional statistical techniques are insufficient to capture the vagueness in the data. Linguistic data can be transformed into numerical ... -
Design of Fuzzy u Control Charts
When expressing any data in linguistic terms related to a quality characteristic, traditional statistical techniques are insufficient to capture the vagueness in the data. Linguistic data can be transformed into numerical ... -
Development of fuzzy ((X) over bar) over tilde - (R) over tilde and ((X) over bar) over tilde - (S) over tilde control charts using alpha-cuts
Şentürk, Sevil; Erginel, Nihal (Elsevier Science Inc, 2009)Statistical process control (SPC) is an approach that uses statistical techniques to monitor the process. Shewhart introduced the control charts that are one of the most important techniques of quality control to detect ... -
Estimating Fuzzy Life Time with a Fuzzy Reliability Function in the Appliance Sector
Erginel, Nihal; Saraçoğlu, Hande; Yıldız, Gülay; Şentürk, Sevil (Springer International Publishing Ag, 2018)Reliability is defined as the length of time a component works without failing. The reliability function shows an estimate for the probable amount of time a component should work without experiencing failure. Fuzzy set ... -
An Estimation Method of Membership Function for Given Fuzzy Data
Samilov, Aladdin; Şentürk, Sevil; Ince, Nihal (Yildiz Technical University, 2017)In the present study for given fuzzy data an estimation method based on Max(F)Ent measure and generalized entropy optimization methods is suggested. A set of successive values of estimated membership function is defined ... -
Evaluating the Packing Process in Food Industry Using Fuzzy X ~ and S ~ Control Charts
Erginel, Nihal; Şentürk, Sevil; Kahraman, Cengiz; Kaya, İhsan (Atlantis Press, 2011)The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement ... -
Evaluating the packing process in food industry using fuzzy and [stilde] control charts
The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement ... -
A framework for fuzzy variable control charts with ?-cuts
Şentürk, Sevil; Erginel, N. (2007)In traditional variable control charts, center line, upper control limit and lower control limit are crisp values. In this situation, process are defined "in control" or "out of control" with depending on observation values ... -
FT-IR spectroscopic study on some 4-(3-cyclohexen-1-yl)pyridine Metal(II) tetracyanonickelate complexes
Şentürk, Sevil; Parlak, C; Aytekin, MT; Şenyel, Mustafa (Verlag Z Naturforsch, 2005)New Hofmann-type complexes in the form of M(4-Chpy)(2)Ni(CN)(4) [where 4-Chpy = 4-(3-cyclohexen-1-yl)pyridine and M = Ni, Co] were prepared in powder form, and their infrared spectra are reported in the range of 4000-400 ... -
Fuzzy Dea Approach to Solve the Location Selection of Wind Energy
Erginel, Nihal; Yalçınkaya, Merve; Şentürk, Sevil (World Scientific Publ Co Pte LTD, 2012)Wind energy is an important energy source among the renewable energies, in nowadays. Turkey has many wind energy locations due to the appropriate weather conditions. The problem of location selection of wind energy depends ... -
Fuzzy EWMA and Fuzzy CUSUM Control Charts
Erginel, Nihal; Şentürk, Sevil (Springer Int Publishing Ag, 2016)Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the ... -
Fuzzy exponentially weighted moving average control chart for univariate data with a real case application
Şentürk, Sevil; Erginel, Nihal; Kaya, İhsan; Kahraman, Cengiz (Elsevier Science BV, 2014)Statistical process control (SPC) is an approach to evaluate processes whether they are in statistical control or not. For this aim, control charts are generally used. Since sample data may include uncertainties coming ... -
Fuzzy regression control chart
Şentürk, Sevil (World Scientific Publ Co Pte LTD, 2008)The fuzzy set theory is a powerful method to analyze the statistical data which includes ambiguity or vague comes from the structure of the process, measurement systems or environmental conditions. Crisp value collected ... -
Fuzzy Statistical Process Control Techniques in Production Systems
Kahraman, Cengiz; Gülbay, Murat; Erginel, Nihal; Şentürk, Sevil (Springer-Verlag Berlin, 2010)Crisp Shewhart control charts monitor and evaluate a process as "in control" or "out of control" whereas the fuzzy control charts do it by using suitable linguistic or fuzzy numbers by offering flexibility for control ... -
Genelleştirilmiş entropi optimizasyon yöntemleri ile bulanık veri analizi
Yılmaz, Nihal, [tarih] (Anadolu Üniversitesi, 2015)Bu tez çalışmasında, bulanık veri seti analizi için Maksimum Bulanık Entropi (Max(F)Ent) problemi tanımlanmış ve bu problemin çözümü için MinMax(F)Ent ve MaxMax(F)Ent şeklinde Genelleştirilmiş Maksimum Bulanık Entropi ...