Application of ELECTRE Algorithm in Skincare Product Selection

Nasution, Nurliana; Febriadi, Bayu; Mahalisa, Galih; Hijriana, Nadiya; Rasyidan, Muhammad; Sinaga, Dewinta Marthadinata; Dewi, Sinta Maulina; Windarto, Agus Perdana; Aswan, Novita; Raharjo, Mokhamad Ramdhani

doi:10.1088/1742-6596/1471/1/012066

Cited by 13 publications

(2 citation statements)

References 23 publications

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“…In order to verify the consistency of the analysis results, it is essential to conduct a comparative evaluation using other fuzzy sets. Lastly, the compensation among the factors and the normalization procedure can be avoided by employing the ELECTRE method in the evaluation procedure (Nasution et al 2020 ; Biluca et al 2020 ). With the aid of this issue, the original data cannot be manipulated, thereby enhancing the applicability of the findings.…”

Section: Introductionmentioning

confidence: 99%

A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects

Wan

Miao

Wang³

et al. 2023

Financ Innov

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In the last decade, the risk evaluation and the investment decision are among the most prominent issues of efficient project management. Especially, the innovative financial sources could have some specific risk appetite due to the increasing return of investment. Hence, it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending. Accordingly, this study aims to analyze a unique risk set and the strategic priorities of fintech lending for clean energy projects. The most important contributions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets. The extension of multi stepwise weight assessment ratio analysis (M-SWARA) is applied for weighting the risk factors of fintech lending. The extension of elimination and choice translating reality (ELECTRE) is employed for constructing and ranking the risk-based strategic priorities for clean energy projects. In this process, data is obtained with the evaluation of three different decision makers. The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA. Hence, the causality analysis between the criteria can also be performed in this proposed model. The findings demonstrate that security is the most critical risk factor for fintech lending system. Moreover, volume is found as the most critical risk-based strategy for fintech lending. In this context, fintech companies need to take some precautions to effectively manage the security risk. For this purpose, the main risks to information technologies need to be clearly identified. Next, control steps should be put for these risks to be managed properly. Furthermore, it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financiers integrated into the system. Within this framework, the platform should be secure and profitable to persuade financiers.

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Section: Introductionmentioning

confidence: 99%

A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects

Wan

Miao

Wang³

et al. 2023

Financ Innov

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“…ELECTRE (Elimination Et Choix Traduisant la REalité) is a multi-criteria decision-making method that helps decision-makers evaluate and rank alternatives based on a set of criteria (Joerin et al, 2001;Kaliszewski & Podkopaev, 2016;Zanakis et al, 1998). The method was first introduced by Roy (Nasution et al, 2020;Vinodh & Girubha, 2012) and has been developed and improved in subsequent versions, such as ELECTRE I, II, and III. ELECTRE I is the original version of the method, which uses a simple pairwise comparison method to evaluate and rank alternatives.…”

Section: Introduction *mentioning

confidence: 99%

ELECTRE III for Human Resource Management: A Study of Recruitment and Retention Strategies

Indrasari

Lase²,

Indriyani

et al. 2022

jinav j. inf. vis.

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This paper presents the application of the ELECTRE III multi-criteria decision making method for human resource management. The case study conducted involves the evaluation of different recruitment and retention strategies using multiple criteria such as cost, time to fill a position, quality of candidates, retention rate, diversity and inclusion, employee satisfaction, and compliance. The study demonstrates the step-by-step process of how to conduct an ELECTRE III analysis, including the identification of criteria and alternatives, the calculation of concordance and discordance indices, and the determination of final rankings using the global outranking relation. The results of this analysis can be used by organizations to make informed decisions about recruitment and retention strategies that best align with their goals and objectives. The study highlights the importance of data quality and the need for sensitivity analysis to check the robustness of the results. Additionally, it is suggested that future research could be conducted on how to effectively communicate the results of the analysis to stakeholders and decision-makers, and on comparing the results of this analysis with other methods.

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Facial Wash Products Recommendation System: Profile User-Based Using Fuzzy Analytical Hierarchy Process Approach

Okfalisa,

Kasmadani,

Pizaini

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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Application of ELECTRE Algorithm in Skincare Product Selection

Cited by 13 publications

References 23 publications

A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects

A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects

ELECTRE III for Human Resource Management: A Study of Recruitment and Retention Strategies

Facial Wash Products Recommendation System: Profile User-Based Using Fuzzy Analytical Hierarchy Process Approach

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