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Journals / İstatistik Araştırma Dergisi / 2012 / Cilt: 9 Sayı: 2

Fuzzy Local Polynomial Nonparametric Regression Models

Bulanık Yerel Polinomiyal Parametrik Olmayan Regresyon Modelleri

Memmedağa MEMMEDLİ
Münevvere YILDIZ
Ozer OZDEMİR
Pages
84–92
Publication Date
2012-08-15
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this new approach, it is found that performance of this model has better results according to others.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, nonparametric fuzzy regression models are considered.
📊
Key Findings & Data:Existing fuzzy regression models are compared with improved fuzzy version of local nonparametric cubic regression model.
💡
Conclusion & Impact:In this new approach, it is found that performance of this model has better results according to others.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık parametrik olmayan regresyon · LR bulanık sayısı · Yerel polinomiyal düzeltme

Abstract

In this study, nonparametric fuzzy regression models are considered. Existing fuzzy regression models are compared with improved fuzzy version of local nonparametric cubic regression model. In this new approach, it is found that performance of this model has better results according to others.

Özet

Bu çalışmada parametrik olmayan bulanık regresyon modelleri göz önüne alınmıştır. Mevcut bulanık regresyon modelleri, bulanık versiyonu geliştirilen parametrik olmayan yerel kübik regresyon modeli ile karşılaştırılmıştır. Bu yeni yaklaşımda, önerilen modelin performansının diğerlerine göre daha iyi sonuçlara sahip olduğu bulunmuştur.

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Cite This Article

MEMMEDLİ, M., YILDIZ, M., OZDEMİR, O. (2012). Fuzzy Local Polynomial Nonparametric Regression Models. İstatistik Araştırma Dergisi, Cilt: 9 Sayı: 2, 84–92. https://ajindex.com/articles/1019717

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