Abstract <p>This study investigates the selection of optimal dental composites through a Multi-Criteria Decision Making approach utilizing the Analytic Hierarchy Process (AHP) and Gray Relational Analysis (GRA) techniques. Six dental composite materials (A) SiO₂-ZrO₂, (B) BIS-GMA, UDMA and Bis-EMA blend, (C) Bis-GMA, UDMA, TEGDMA and Bis-EMA resins, (D) silorane and filler, (E) Bis-GMA, Bis-EMA and UDMA, and (F) SiO₂-Al₂O₃-K₂O were evaluated based on a set of Performance Defining Criteria (PDCs). The AHP method determines the following priority order for PDCs: shrinkage (PDC-2) &gt; density (PDC-3) = compressive strength (PDC-6) &gt; flexural strength (PDC-4) = flexural modulus (PDC-5) &gt; fracture toughness (PDC-1). The GRA ranking of the dental composites is B &gt; D &gt; C &gt; A &gt; E &gt; F. This research demonstrates the effectiveness of the hybrid AHP-GRA approach, particularly considering the successful application of the hybrid AHP-GRA for the first time, in achieving logical and robust results based on the inherent properties and performance of the investigated composites. Also, the shrinkage, density, and compressive strength characteristics had the greatest influence on choosing the best filling for tooth restoration. This research aims to support dentists in choosing the best dental filling from among the many fillings available with different and varied properties to provide the best-required performance for the filling.</p>

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The Effect of Density and Shrinkage Properties on Choosing the Best Dental Filling on Dental Restoration Using Hybrid Analytic Hierarchy Process and Gray Relational Analysis Techniques

  • Mays H. Udah,
  • Qassim M. Doos

摘要

Abstract

This study investigates the selection of optimal dental composites through a Multi-Criteria Decision Making approach utilizing the Analytic Hierarchy Process (AHP) and Gray Relational Analysis (GRA) techniques. Six dental composite materials (A) SiO₂-ZrO₂, (B) BIS-GMA, UDMA and Bis-EMA blend, (C) Bis-GMA, UDMA, TEGDMA and Bis-EMA resins, (D) silorane and filler, (E) Bis-GMA, Bis-EMA and UDMA, and (F) SiO₂-Al₂O₃-K₂O were evaluated based on a set of Performance Defining Criteria (PDCs). The AHP method determines the following priority order for PDCs: shrinkage (PDC-2) > density (PDC-3) = compressive strength (PDC-6) > flexural strength (PDC-4) = flexural modulus (PDC-5) > fracture toughness (PDC-1). The GRA ranking of the dental composites is B > D > C > A > E > F. This research demonstrates the effectiveness of the hybrid AHP-GRA approach, particularly considering the successful application of the hybrid AHP-GRA for the first time, in achieving logical and robust results based on the inherent properties and performance of the investigated composites. Also, the shrinkage, density, and compressive strength characteristics had the greatest influence on choosing the best filling for tooth restoration. This research aims to support dentists in choosing the best dental filling from among the many fillings available with different and varied properties to provide the best-required performance for the filling.