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## A Fuzzy Modelling Approach to Robust Design via Loss Functions

#### Melis Zeybek [1] , Onur Köksoy [2]

##### 97 86

Especially in a world where industrial development is reinforced by globalization tendencies, competitive companies know that satisfying customers' needs and running a successful operation requires a process that is reliable, predictable and robust. Therefore, many of quality improvement techniques focus on reducing process variation in line with the “loss to society” concept. The upside-down normal loss function is a weighted loss function that has the ability to evaluate losses with a more reasonable risk assessment. In this study, we introduce a fuzzy modelling approach based on expected upside-down normal loss function where the mean and standard deviation responses are fitted by response surface models. The proposed method aims to identify a set of operating conditions to maximize the degree of satisfaction with respect to the expected loss. Additionally, the proposed approach provides a more informative and realistic approach for comparing competing sets of conditions depending upon how much better or worse a process is. We demonstrate the proposed approach in a well-known design of experiment by comparing it with existing methods.

fuzzy modeling, response surface methodology, robust parameter design, upside-down normal loss function
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Birincil Dil en Matematik December Articles Yazar: Melis Zeybek (Sorumlu Yazar)Kurum: EGE ÜNİVERSİTESİ, FEN FAKÜLTESİ, İSTATİSTİK BÖLÜMÜÜlke: Turkey Yazar: Onur KöksoyÜlke: Turkey
 Bibtex @konferans bildirisi { forecasting340136, journal = {Turkish Journal of Forecasting}, issn = {}, eissn = {2618-6594}, address = {Giresun University Forecast Research Laboratory}, year = {2017}, volume = {01}, pages = {40 - 45}, doi = {}, title = {A Fuzzy Modelling Approach to Robust Design via Loss Functions}, key = {cite}, author = {Köksoy, Onur and Zeybek, Melis} } APA Zeybek, M , Köksoy, O . (2017). A Fuzzy Modelling Approach to Robust Design via Loss Functions. Turkish Journal of Forecasting, 01 (2), 40-45. Retrieved from http://dergipark.gov.tr/forecasting/issue/33413/340136 MLA Zeybek, M , Köksoy, O . "A Fuzzy Modelling Approach to Robust Design via Loss Functions". Turkish Journal of Forecasting 01 (2017): 40-45 Chicago Zeybek, M , Köksoy, O . "A Fuzzy Modelling Approach to Robust Design via Loss Functions". Turkish Journal of Forecasting 01 (2017): 40-45 RIS TY - JOUR T1 - A Fuzzy Modelling Approach to Robust Design via Loss Functions AU - Melis Zeybek , Onur Köksoy Y1 - 2017 PY - 2017 N1 - DO - T2 - Turkish Journal of Forecasting JF - Journal JO - JOR SP - 40 EP - 45 VL - 01 IS - 2 SN - -2618-6594 M3 - UR - Y2 - 2017 ER - EndNote %0 Turkish Journal of Forecasting A Fuzzy Modelling Approach to Robust Design via Loss Functions %A Melis Zeybek , Onur Köksoy %T A Fuzzy Modelling Approach to Robust Design via Loss Functions %D 2017 %J Turkish Journal of Forecasting %P -2618-6594 %V 01 %N 2 %R %U ISNAD Zeybek, Melis , Köksoy, Onur . "A Fuzzy Modelling Approach to Robust Design via Loss Functions". Turkish Journal of Forecasting 01 / 2 (Aralık 2017): 40-45.