Yazar "Şentürk, Sevil" için WoS İndeksli Yayınlar Koleksiyonu listeleme
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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 ... -
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 ... -
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 ... -
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 ... -
Intelligent Systems in Total Quality Management
Erginel, Nihal; Şentürk, Sevil (Springer-Verlag Berlin, 2015)Total Quality Management (TQM) is a widely known and applied concept by organizations for continuous improvement in the workplace. This philosophy is based on eight main principles: customer focus, leadership, involvement ... -
Interval Type-2 Fuzzy Analytic Network Process for Modelling a Third-party Logistics (3PL) Company
Şentürk, Sevil; Erginel, N.; Binici, Y. (Old City Publishing Inc, 2017)The Fuzzy Analytic Network Process (ANP) is generally used for solving multi-criteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among ... -
Interval Type-2 Fuzzy c-Control Charts: An Application in a Food Company
Şentürk, Sevil; Antucheviciene, Jurgita (Inst Mathematics & Informatics, 2017)Many papers exist on ordinary fuzzy control charts in literature in order to consider the vagueness and uncertainty in observation data. These are on both variable and attribute control charts. Several extensions of fuzzy ... -
Modeling attribute control charts by interval type-2 fuzzy sets
Erginel, Nihal; Şentürk, Sevil; Yıldız, Gülay (Springer, 2018)Fuzzy attribute control charts, where data are classified into conforming/nonconforming product units, are used to monitor fuzzy fractions of nonconforming units for variable sample sizes and the fuzzy number of nonconforming ... -
Monitoring Fraction Nonconforming in Process with Interval Type-2 Fuzzy Control Chart
Erginel, Nihal; Şentürk, Sevil; Yıldız, Gülay (Springer International Publishing Ag, 2018)Fuzzy set theory is particularly appropriate approach when data include imprecise. Type-2 fuzzy set theory captures ambiguity that associates the uncertainty of membership functions by incorporating footprints and models ... -
A New Approach for Parameter Estimation in Fuzzy Logistic Regression
Atalık, Özlem; Şentürk, Sevil (University Sistan & Baluchestan, 2018)Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This ... -
Ranking of the GSM Operators with Fuzzy ANP
Erginel, Nihal; Şentürk, Sevil (Int Assoc Engineers-Iaeng, 2011)Customers can easily change their GSM operator after accepting the legal regulation on moving the number to the new operator in Turkey. In this study, fuzzy analytic network process (FANP) is used to rank for three Global ... -
The theoretical structure of Fuzzy Analytic Network Process (FANP) with Interval Type-2 Fuzzy Sets
Şentürk, Sevil; Binici, Yonca; Erginel, Nihal (Elsevier Science BV, 2016)The Fuzzy Analytic Network Process has solved multi-criteria decision making problems. Type-1 fuzzy sets used defining as expert's linguistic judgement because fuzzy set theory is concerned with uncertainty in human thought ...