How to choose the optimal single-track vehicle to move in the city? Electric scooters study case

Kizielewicz, Bartłommiej; Dobryakova, L.

doi:10.1016/j.procs.2020.09.274

Cited by 22 publications

(7 citation statements)

References 30 publications

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“…The correlations between the weights provided by the different techniques were then calculated using Pearson's coefficient. Data including electric scooter parameter values were obtained from paper [73], focused on evaluating electric scooters using COMET, which is one of the MCDA methods. The alternatives names and values of the five criteria for their assessment are provided in Table 1.…”

Section: A Real-life Example Of the Application Of The Presented Meth...mentioning

confidence: 99%

Similarity Analysis of Methods for Objective Determination of Weights in Multi-Criteria Decision Support Systems

et al. 2021

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Decision support systems (DSS) are currently developing rapidly and are increasingly used in various fields. More often, those systems are inseparable from information-based systems and computer systems. Therefore, from a methodical point of view, the algorithms implemented in the DSS play a critical role. In this aspect, multi-criteria decision support (MCDA) methods are widely used. As research progresses, many MCDA methods and algorithms for the objective identification of the significance of individual criteria of the MCDA models were developed. In this paper, an analysis of available objective methods for criteria weighting is presented. Additionally, the authors presented the implementation of the system that provides easy and accessible weight calculations for any decision matrix with the possibility of comparing results of different weighting methods. The results of weighting methods were compared using carefully selected similarity coefficients to emphasise the correlation of the resulting weights. The performed research shows that every method should provide distinctive weights considering input data, emphasising the importance of choosing the correct method for a given multi-criteria decision support model and DSS.

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Section: A Real-life Example Of the Application Of The Presented Meth...mentioning

confidence: 99%

Similarity Analysis of Methods for Objective Determination of Weights in Multi-Criteria Decision Support Systems

et al. 2021

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“…Rho Speed: Particularly, the maximum speed criterion is taken into account. It refers to the kilometers traveled by the e-scooter per hour [14]. Some countries have limited the speed of e-scooters.…”

Section: Mcdm Methodsmentioning

confidence: 99%

“…Engine power: Engine power refers to performance and is measured in watts [14]. As with other scooters, engine power is very important for e-scooters, especially for rough roads [21].…”

Section: Performance Criteriamentioning

confidence: 99%

Interpreting the Determinants of Sensitivity in MCDM Methods with a New Perspective: An Application on E-Scooter Selection with the PROBID Method

Baydaş,

Kavacık,

Wang

2024

Spec. Eng. Man. Sci.

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It is not a desirable situation when input parameters excessively affect the results of a system as well as imply unwarranted drift and inefficiency. This situation, which expresses dependence or sensitivity to inputs, is also considered a problem in the multi-criteria decision-making (MCDM) methodology family, which has more than 200 members. A newly produced MCDM method is first subjected to sensitivity tests. MCDM methods are generally evaluated for their sensitivity to weighting methods. Sensitivity is affected by many different parameters such as data, normalization, fundamental equation, and distance type. The common methodical approach for sensitivity analysis is to check whether the best alternative changes with the alteration of weight coefficients. It is problematic to identify sensitivity only in the situation where the ranking position of the best alternative changes. In this study, the sensitivity of the entire ranking is based on a holistic view. Moreover, in the classical method, there is no reference point for sensitivity. Each different MCDM result is compared to each other and it is claimed that the method that produces rankings that are significantly different from the others is poor. We reinterpret sensitivity using the relationship between dynamic MCDM-based performance and static price towards the selection of an environmentally friendly, traffic-saving performance electric scooter. Two PROBID variants as well as the CODAS method are used in this study to deepen the accuracy in the comparison. Additionally, how four types of weighting methods and six types of normalization types affected MCDM sensitivity is measured with a different statistical framework. The finding from a total of 72 different MCDM rankings is striking: If the sensitivity of an MCDM method is generally high, the correlation between that MCDM method and the external anchor (price) is low. Conversely, if sentiment is low, a high correlation with price results. These matching patterns are a unique discovery of this work.

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“…Other advantages of the COMET method worth noting are the high accuracy and the absence of the requirement for arbitrary weights [40]. In literature, there are descriptions of studies in the successful application of this method to choose the most advantageous product, for example, electric scooters [41], electric bikes [42], and electric-powered cars [43,44].…”

Section: Overview Of Various Mcdm Methods Applied To Decision-making Problemsmentioning

confidence: 99%

Methodical Aspects of MCDM Based E-Commerce Recommender System

Bączkiewicz

Kizielewicz

Shekhovtsov

et al. 2021

JTAER

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The aim of this paper is to present the use of an innovative approach based on MCDM methods as the main component of a consumer Decision Support System (DSS) by recommending the most suitable products among a given set of alternatives. This system provides a reliable recommendation to the consumer in the form of a compromise ranking constructed from the five MCDM methods: the hybrid approach TOPSIS-COMET, COCOSO, EDAS, MAIRCA, and MABAC. Each of the methods used contributes significantly to the final compromise ranking built with the Copeland strategy. Chosen MCDM methods were combined with the objective CRITIC weighting method, and their performance was presented on the illustrative example of choosing the most suitable mobile phone. A sensitivity analysis involving the rw and WS correlation coefficients was performed to determine the match between the compromise ranking of the candidates and the rankings provided by each MCDM method. Sensitivity analysis demonstrated that all investigated compromise candidate rankings show high convergence with the rankings provided by the particular MCDM methods. Thus, the performed study proved that the proposed approach shows high potential to be successfully used as a central component of DSS for recommending the most suitable product. Such DSS could be a universal and future-proof solution for e-commerce sites and websites, providing advanced product comparison capabilities in delivering a recommendation to the user as a final ranking of alternatives.

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How to choose the optimal single-track vehicle to move in the city? Electric scooters study case

Cited by 22 publications

References 30 publications

Similarity Analysis of Methods for Objective Determination of Weights in Multi-Criteria Decision Support Systems

Similarity Analysis of Methods for Objective Determination of Weights in Multi-Criteria Decision Support Systems

Interpreting the Determinants of Sensitivity in MCDM Methods with a New Perspective: An Application on E-Scooter Selection with the PROBID Method

Methodical Aspects of MCDM Based E-Commerce Recommender System

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