An enhanced TOPSIS-based framework for MCDM with uncertain weights: Application to e-waste recycling partner selection

An enhanced TOPSIS-based framework for MCDM with uncertain weights: Application to e-waste recycling partner selection

This article presents a unique TOPSIS-based framework to address the problem of interval number comparison in multi-criteria decision-making with unclear criterion weights. The method simplifies the sorting process by converting interval number matrices into two separate exact number matrices. Entro...

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Bibliographic Details
Main Authors: Sandhya Priya Baral, Prashanta Kumar Parida, Diptirekha Sahoo
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Control and Optimization
Subjects:
Entropy weight method
e-WRP
Interval number
MCDM
TOPSIS
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720725000311
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Summary:This article presents a unique TOPSIS-based framework to address the problem of interval number comparison in multi-criteria decision-making with unclear criterion weights. The method simplifies the sorting process by converting interval number matrices into two separate exact number matrices. Entropy weights are determined using a predetermined factor in order to improve the accuracy of decision-making. The choices are then carefully evaluated using the TOPSIS approach. A real-world application in choosing e-waste recycling partners (e-WRP) shows how successful the suggested process is. Additionally, comparative studies are carried out to confirm the results’ robustness and dependability, emphasizing the method’s usefulness in actual decision-making situations.
ISSN:2666-7207

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