Polinomlara dayalı çok kriterli karar verme yöntemleri: Hermite ve Legendre polinomları.

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Title: Polinomlara dayalı çok kriterli karar verme yöntemleri: Hermite ve Legendre polinomları.
Alternate Title: Polynomial based multi-criteria decision-making methods: Hermite and Legendre polynomials.
Authors: Polat, Yadigar1 yadigarpolat@kilis.edu.tr
Source: Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. Mar2026, Vol. 41 Issue 1, p639-649. 11p.
Subjects: Hermite polynomials, Legendre's polynomials, Multiple criteria decision making, Orthogonal polynomials, Rank correlation (Statistics), Analytic hierarchy process
Abstract (English): This study aims to evaluate the applicability of newly developed MCDM models based on the integration of Hermite and Legendre polynomials into the decision process. By embedding orthogonal polynomial structures, the reliability of decision-making is enhanced, particularly in data environments with asymmetry, noise, and outliers. The proposed models, named Hermite MCDM and Legendre MCDM, were applied to data from 15 small ruminant farms in Kilis Province and compared with the classical VIKOR method. Up to the fifth degree, Hermite and Legendre polynomials were employed to construct decision matrices, where AHP-weighted criteria were normalized using polynomial functions. The resulting rankings were evaluated via Spearman's rank correlation coefficient. Findings indicate that ?? and ?? yielded the highest similarity to VIKOR. [ABSTRACT FROM AUTHOR]
Abstract (Turkish): Bu çalışma, ÇKKV sürecine Hermite ve Legendre polinomlarının entegrasyonu ile geliştirilen yeni karar modellerinin uygulanabilirliğini değerlendirmeyi amaçlamaktadır. Ortogonal polinomların karar modellerine entegrasyonu sayesinde, özellikle asimetrik, gürültülü ve uç değer içeren veri yapılarında karar verme güvenilirliğinin artırılması hedeflenmiştir. Kilis ilinde faaliyet gösteren 15 küçükbaş hayvan işletmesine ait veriler kullanılarak geliştirilen Hermite ÇKKV ve Legendre ÇKKV modelleri, klasik bir yöntem olan VIKOR ile karşılaştırılmıştır. Uygulamada, beşinci dereceye kadar Hermite ve Legendre polinomları kullanılarak karar matrisleri oluşturulmuş, AHP ile ağırlıklandırılmış kriterler polinom fonksiyonlarıyla normalize edilmiştir. Sıralama sonuçları Spearman sıralama korelasyon katsayısı ile VIKOR yöntemiyle karşılaştırılmıştır. Bulgular, özellikle H4(x) ve P5 (x) polinomlarının VIKOR ile yüksek düzeyde uyum gösterdiğini ortaya koymuştur. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This study aims to evaluate the applicability of newly developed MCDM models based on the integration of Hermite and Legendre polynomials into the decision process. By embedding orthogonal polynomial structures, the reliability of decision-making is enhanced, particularly in data environments with asymmetry, noise, and outliers. The proposed models, named Hermite MCDM and Legendre MCDM, were applied to data from 15 small ruminant farms in Kilis Province and compared with the classical VIKOR method. Up to the fifth degree, Hermite and Legendre polynomials were employed to construct decision matrices, where AHP-weighted criteria were normalized using polynomial functions. The resulting rankings were evaluated via Spearman's rank correlation coefficient. Findings indicate that ?? and ?? yielded the highest similarity to VIKOR. [ABSTRACT FROM AUTHOR]
ISSN:13001884
DOI:10.17341/gazimmfd.1738216