Dergiler / Turkish Journal of Forecasting / 2026 / Volume: 03 Issue: 1

A Fuzzy Modelling Approach to NSE Criterion on Robust Design

Onur Köksoy(Ege University, Department of Statistics)
Melis Zeybek(Ege University, Department of Statistics)
Sayfa
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Yayın Tarihi
2019-08-31
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Additionally, the proposed approach is illustrated with a well-known design of experiment by comparing existing methods.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Dual response methodology is a natural and effective tool for a reliable and robust operation process or product in modern quality engineering.
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Temel Bulgular & Veri:Therefore, many of quality improvement techniques based on dual response methodology focus on being on target and reducing system variability.
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Sonuç & Katkı:Additionally, the proposed approach is illustrated with a well-known design of experiment by comparing existing methods.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Fuzzy modelling · Response surface methodology · Robust design

Abstract

Dual response methodology is a natural and effective tool for a reliable and robust operation process or product in modern quality engineering. Therefore, many of quality improvement techniques based on dual response methodology focus on being on target and reducing system variability. This paper presents a fuzzy modelling approach based on the Nash-Sutcliffe efficiency for a dual response problem. The proposed approach aims to determine a set of operating conditions that maximize the degree of satisfaction due to the Nash-Sutcliffe efficiency in a quality improvement context. Additionally, the proposed approach is illustrated with a well-known design of experiment by comparing existing methods.

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Bu Makaleye Atıf Yap

Köksoy, O., Zeybek, M. (2019). A Fuzzy Modelling Approach to NSE Criterion on Robust Design. Turkish Journal of Forecasting, Volume: 03 Issue: 1. https://ajindex.com/articles/1556164

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Kaynakça (18)

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