Optimal Design of Wood/Rice Husk-Waste-Filled PLA Biocomposites Using Integrated CRITIC–MABAC-Based Decision-Making Algorithm

Optimal Design of Wood/Rice Husk-Waste-Filled PLA Biocomposites Using Integrated CRITIC–MABAC-Based Decision-Making Algorithm

Based on the criteria importance through inter-criteria correlation (CRITIC) and the multi-attributive border approximation area comparison (MABAC), a decision-making algorithm was developed to select the optimal biocomposite material according to several conflicting attributes. Poly(lactic acid) (P...

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Bibliographic Details
Main Authors: Tej Singh, Punyasloka Pattnaik, Amit Aherwar, Lalit Ranakoti, Gábor Dogossy, László Lendvai
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Polymers
Subjects:
PLA biocomposite
wood waste
rice husk
physicomechanical
wear
CRITIC–MABAC
Online Access:https://www.mdpi.com/2073-4360/14/13/2603

Internet

https://www.mdpi.com/2073-4360/14/13/2603

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