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A single-valued neutrosophic decision framework for the assessment of sustainable transport investment projects based on discrimination measure

Ibrahim M. Hezam (Statistics and Operations Research Department, College of Sciences, King Saud University, Riyadh, Saudi Arabia)
Arunodaya Raj Mishra (Department of Mathematics, Government College Raigaon, Satna, India)
R. Krishankumar (Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India)
K.S. Ravichandran (Department of Mathematics, Rajiv Gandhi National Institute of Youth Development, Sriperumbudur, India)
Samarjit Kar (Department of Mathematics, NIT-Durgapur, Durgapur, India)
Dragan Stevan Pamucar (Department of Logistics, Military Academy, University of Defence in Belgrade, Belgrade, Serbia)

Management Decision

ISSN: 0025-1747

Article publication date: 8 March 2022

Issue publication date: 16 March 2023




The study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied considering a set of criteria and discussed alternatives with sustainable perspectives.


In this paper, a complex proportional assessment (COPRAS) framework is discussed to handle the sustainable transport investment project (STIP) assessment problem within a single-valued neutrosophic set (SVNSs). To form the procedure more useful in handling with uncertain features, a SVNS is applied as a valuable procedure to handle uncertainty. First, a new discrimination measure for SVNSs is introduced and discussed some elegant properties to determine the significance degree or weight values of criteria with the sustainabality perspectives. Second, an integrated approach is introduced based on the discrimination measure and the COPRAS method on SVNSs and named as SVN-COPRAS.


A case study of an STIP evaluation problem is used to confirm the practicality and effectiveness of the SVN-COPRAS framework. Lastly, comparative discussion and sensitivity investigation are illustrated to prove the strength and solidity of the proposed framework.


The SVNSs enrich the essence of linguistic information when a decision expert (DE) vacillates among different linguistic values (LVs) to measure a sustainable transport project alternative problem. The utilization of SVNSs provides a more stable procedure to describe DEs' evaluations. So, an elegant methodology is developed to incorporate the DEs' awareness and experience for electing the desired STIPs. The introduced methodology has higher operability than the single-valued neutrosophic set technique for order preference by similarity to an ideal solution (SVN-TOPSIS) procedure during the larger numbers of attribute(s) or option(s). For the SVN-COPRAS methodology, there is no need to estimate the single-valued neutrosophic ideal solution (SVN-IS) and single-valued neutrosophic anti-ideal solution (SVNA-IS). The outcomes are calculated with handling the realistic data, which elucidates that the introduced model can tackle more intricate and realistic multi-criteria decision-making issues.



This paper is supported by the Researchers Supporting Project number (RSP-2021/389), King Saud University, Riyadh, Saudi Arabia.


Hezam, I.M., Mishra, A.R., Krishankumar, R., Ravichandran, K.S., Kar, S. and Pamucar, D.S. (2023), "A single-valued neutrosophic decision framework for the assessment of sustainable transport investment projects based on discrimination measure", Management Decision, Vol. 61 No. 2, pp. 443-471.



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