Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context

Emamat, Mir Seyed Mohammad Mohsen; Mota, Caroline Maria de Miranda; Mehregan, Mohammad Reza; Moghadam, Mohammad Reza Sadeghi; Nemery, Philippe

doi:10.1186/s40854-021-00318-1

Cited by 22 publications

(12 citation statements)

References 99 publications

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“…MPS Honda Pandeglang in solving problems to provide ease in recommending the location of events. In order to determine whether or not Rutilahu funds are eligible for assistance, a decision-support system is required, namely, the method of Research Results [9], determining the criterion weight. Four approaches for ELECTRE-TRI and 15 approaches to FlowSort are considered.…”

Section: Related Work/literature Review (Optional)mentioning

confidence: 99%

Application of Electre Method Decision Support System for Laptop Selection

Hasan

2023

bit-Tech

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In the contemporary era, laptops have transitioned from being perceived as luxury items to becoming an essential tool for work, education, and various learning activities. The market is saturated with a plethora of laptop manufacturers, providing consumers with a wide array of options to cater to their specific needs and budget constraints. However, a common challenge faced by consumers is the mismatch between their requirements and the specifications of available laptops, often due to a lack of understanding. Addressing this issue requires the implementation of a suitable Decision Support System (DSS). The proposed solution involves employing the Electre method, renowned for its multicriteria approach. This method systematically eliminates unsuitable alternatives, facilitating the identification of laptops that align with the desired criteria. The process involves several key steps, such as defining criteria and alternatives, assigning weights, normalizing the decision matrix, determining concordance and discordance indices, and ultimately establishing an aggregate dominance matrix. By leveraging the Electre method, this Decision Support System can effectively recommend laptops that not only meet the consumer's specified criteria but also align with their budget constraints. This systematic approach aims to enhance the overall decision-making process, ensuring optimal satisfaction for laptop buyers in terms of both performance and financial considerations.

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Section: Related Work/literature Review (Optional)mentioning

confidence: 99%

Application of Electre Method Decision Support System for Laptop Selection

Hasan

2023

bit-Tech

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“…In the first stage, the performance of each fund is determined with DEA, and in the second stage, the MABAC technique with entropy weights is applied. Emamat et al (2022) employed ELECTRE-TRI, Best-Worst Method, and FlowSort methods to select stocks for a portfolio. There were 8 criteria and 50 alternatives (stocks on the Tehran Stock Exchange) in the decision matrix.…”

Section: Literature Reviewmentioning

confidence: 99%

“…When using MCDM techniques, the weights of the criteria should be carefully determined since the weights of the criteria will affect the scores of the alternatives. There are studies in the literature in which criteria weights are determined by techniques such as MACBETH (Bana E Costa & Soares, 2004), BWM (Emamat et al, 2022;Rezaei, 2015), FUCOM (Pamučar et al, 2018), AHP (Saaty, 1977), DEMATEL (Fazli & Jafari, 2012;Jerry Ho et al, 2011). These techniques all need the opinions of an expert to figure out how much weight to give each of the criteria.…”

Section: Introductionmentioning

confidence: 99%

Allocation with multi criteria decision making techniques

Özçalıcı

2022

Decis. Mak. Appl. Manag. Eng.

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Determining the weights of assets in a portfolio is one of the fundamental problems of finance. MCDM techniques are employed for asset allocation purposes. However, criterion weights have to be determined before the steps of the techniques are implemented. In this study, the weights of the criteria are determined by four different MCDM weight techniques (CILOS, CRITIC, MEREC, and SECA), and the effect of these weights on the performance of portfolios created with 17 MCDM techniques (ARAS,

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“…In addition, processes with multiple decision-making criteria can be used to construct an evaluation model to obtain an optimal solution [43][44][45][46]. Furthermore, studies have clearly pointed out that optimal solutions can be obtained by applying an Analytic Hierarchy Process (AHP) or other multiple criteria decision-making method [45,[47][48][49][50], such as Kumar et al (2021) evaluating the circular economy adoption barriers by ISM-ANP, Bathrinath et al (2021) applying the AHP-TOPSIS to evaluate the risk in textile industries, and Emamat et al (2022) using the ELECTRE-TRI method to select a stock portfolio [51][52][53]. AHP is suitable for evaluating optimal solutions in various fields.…”

Section: Introductionmentioning

confidence: 99%

Combining the MDM and BWM Algorithm to Determine the Optimal Crowdfunding Tokenization Solution for Digital Assets Market Startups

Chou

Lin

2022

Systems

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This study aimed to use the modified Delphi method and best worst method to establish an evaluation model for analyzing the perspectives and key influencing factors used in evaluating startups’ optimal token-financing solutions. In accordance with the modified Delphi method, a list of influencing factors was obtained through expert opinions and a literature review, and, further, adopted to construct an evaluation model and the subsequent weights. Thereafter, the relative weight of each factor in the best worst method framework was determined, to obtain the optimal token-financing solution. This study makes important contributions in theory and in practice by providing a decision-making model based on the modified Delphi method and the best worst method, which can serve as a valuable reference and measurement tool for startups to evaluate optimal solutions, when undertaking token financing. Academically, it contributes to the literature by providing an application process that integrates the modified Delphi method and the best worst method, and introduces an optimal evaluation framework for startups to use when undertaking token financing. In addition, it makes a practical contribution in the context of the rapid development of FinTech, as the evaluation model proposed in this study can be a valuable measurement tool for startup entrepreneurs who intend to use token financing to improve the capital turnover rate of their equity.

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Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context

Cited by 22 publications

References 99 publications

Application of Electre Method Decision Support System for Laptop Selection

Application of Electre Method Decision Support System for Laptop Selection

Allocation with multi criteria decision making techniques

Combining the MDM and BWM Algorithm to Determine the Optimal Crowdfunding Tokenization Solution for Digital Assets Market Startups

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