An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

Bošković, Sara; Švadlenka, Libor; Jovčić, Stefan; Dobrodolac, Momčilo; Šimić, Vladimir; Bačanin, Nebojša

doi:10.1109/access.2023.3265818

Cited by 40 publications

(29 citation statements)

References 47 publications

(32 reference statements)

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“…In this paper, an extended AROMAN method is applied. This method combines the normalized data from two-step normalization and obtains an average matrix from normalized data [18]. The extended AROMAN method can be described in the following steps:…”

Section: An Extended Aroman Methodsmentioning

confidence: 99%

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

et al. 2023

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Nowadays, cargo bikes play a vital role in the last-mile delivery process. Parcel distribution by cargo bikes becomes a more accessible and ecologically friendly solution. This paper addresses the investment decision on the cargo bike delivery concept selection problem. We investigated a better solution in terms of whether the company needs to perform the delivery by investing in its fleet of cargo bikes or renting cargo bikes from a third party. The third solution is to combine those two alternatives. This case considers four criteria: cargo bike procurement cost, cargo bike maintenance cost, return on investment, and financial profitability. To solve this problem, we applied the extended alternative ranking order method accounting two-step normalization (AROMAN) method. The results compared with the MARCOS and ARAS methods confirmed that delivery concept 2 (i.e. renting cargo bikes from third-party providers) represented the best solution for the e-commerce company.

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Section: An Extended Aroman Methodsmentioning

confidence: 99%

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

et al. 2023

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“…

is the weighting factor, such that

. As recommended in [ 47 ], we took the initial value of

as 0.5. However,

can take any value within the stated range.…”

Section: Methodsmentioning

confidence: 99%

“…The final appraisal score for the

alternative can be obtained using the following definition:

Here,

ranges from 0 to 1 and is known as the coefficient degree of the criterion type. As suggested in [ 47 ], for the initial case we considered its value to be 0.5.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the proposed full consistent entropy method (F-Entropy) with qROFN provides a robust mechanism to determine the criteria weights, irrespective of the nature of the values in the decision matrix, and is able to offset the subjective bias when dealing with imprecise information. For the ranking of the alternative options, a very recently developed MCDM model, the alternative ranking order method accounting for two-step normalization (AROMAN) [ 47 ], was utilized. AROMAN provides the following benefits: use of a linear combination max–min type and vector normalization techniques to provide more flexibility and an accurate representation of the decision matrix through normalization and stable and robust solution.…”

Section: Introductionmentioning

confidence: 99%

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A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

Biswas

Sanyal

Božanić

et al. 2023

Entropy

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The subject of this research is the evaluation of electric cars and the choice of car that best meets the set research criteria. To this end, the criteria weights were determined using the entropy method with two-step normalization and a full consistency check. In addition, the entropy method was extended further with q-rung orthopair fuzzy (qROF) information and Einstein aggregation for carrying out decision making under uncertainty with imprecise information. Sustainable transportation was selected as the area of application. The current work compared a set of 20 leading EVs in India using the proposed decision-making model. The comparison was designed to cover two aspects: technical attributes and user opinions. For the ranking of the EVs, a recently developed multicriteria decision-making (MCDM) model, the alternative ranking order method with two-step normalization (AROMAN), was used. The present work is a novel hybridization of the entropy method, full consistency method (FUCOM), and AROMAN in an uncertain environment. The results show that the electricity consumption criterion (w = 0.0944) received the greatest weight, while the best ranked alternative was A7. The results also show robustness and stability, as revealed through a comparison with the other MCDM models and a sensitivity analysis. The present work is different from the past studies, as it provides a robust hybrid decision-making model that uses both objective and subjective information.

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“…Considering the limitations of prior research, effectively addressing climate change risks and successfully implementing adaptation activities demands an approach that provides a holistic managerial perspective. This method should explicitly take into account multiple criteria to enhance decision outcomes [40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. Multi-criteria decision-making (MCDM) techniques, adept at structuring complex problems and accommodating various criteria, are well-suited for this purpose [55,[60][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

Bouraima,

Ibrahim,

Qiu

et al. 2024

J. Soft. Comput. Decis. Anal.

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Decision-makers, researchers, practitioners, and stakeholders often struggle with selecting and prioritizing strategies to manage climate change risks. While recent research extensively explores this issue, the emphasis has largely been on regions other than Africa. This is significant, considering Africa’s anticipated exposure to various and severe impacts of climate change. This study applied a two-stage model that integrates the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a unique framework under the influence of spherical fuzzy (SF) conditions. In the initial stage, SF-SWARA determines the relative importance of the criteria, while the subsequent stage involves the SF-WASPAS method to rank the strategies. While the most critical challenges are limited access to finance and inadequacies in climate data, scenarios, and impact models, the solution to be considered is the promotion of a well-coordinated capacity-building programme. Furthermore, a comprehensive sensitivity analysis was conducted to validate the applicability of the proposed model. This research not only identifies and explains the challenges associated with climate change risks management in the African context but also significantly contributes to the body of knowledge by outlining and prioritizing the strategies required to address these challenges.

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An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

Cited by 40 publications

References 47 publications

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

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