Stock Portfolio Optimization Using Pythagorean Fuzzy Numbers

El-Morsy, Salwa

doi:10.56578/josa010102

Cited by 15 publications

(5 citation statements)

References 19 publications

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“…[35] evaluated battery suppliers using fuzzy MCDM methods in a fuzzy environment, discussing the importance of transportation cost, delivery time, and warranty periods. El-Morsy [36] conducted a stock portfolio analysis by defining the risky return rate, portfolio risk amount, and expected return rates with PFNs. Yazdani et.…”

Section: Figurementioning

confidence: 99%

IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers

Yalçın

2024

Turkish Journal of Engineering

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Complex geometries, fine details, and various designs that are difficult to create using traditional methods can easily be turned into a tangible object with Three-Dimensional (3D) printers. 3D printers have advantages such as providing design flexibility, obtaining prototypes in the shortest possible time, allowing for personalization, and reducing waste through the use of advanced technology. These advantages emphasize the significance of 3D printers in a sustainable production model. The widespread usage of 3D printers leads to increased efficiency and cost reduction in production. When the literature is examined, it is observed that there are limited studies on the evaluation of supplier performances for company using 3D printers. The aim of this study is to address 3D printers, which are highly significant for sustainable production, and to reveal the criteria that companies utilizing these printers need to consider for determining their suppliers. As a result of the literature review and expert interviews, a model has been developed that gathers the criteria to be considered for supplier selection, which is an important cost factor for companies involved in designing and producing 3D printers under five main and 18 sub-criteria. The importance weights of the criteria have been determined using the Interval Valued Pythagorean Fuzzy Analytic Hierarchy Process (IVPF-AHP) method, and the most suitable supplier among alternative suppliers has been selected using the Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. Finally, the supplier scores have been statistically analyzed to show the validation of the results of the proposed method. According to the results, it has been concluded that for company using 3D printers, quality and technical service criteria are more important in the supplier selection. Additionally, cost of the material/equipment, product price and easy maintenance criteria also play a critical role in the supplier selection of 3D printer.

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Section: Figurementioning

confidence: 99%

IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers

Yalçın

2024

Turkish Journal of Engineering

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“…Therefore, Mostafa et al [21] conducts research on Python fuzzy sets, they apply Pythagorean fuzzy set and TOPSIS method to determined the best supplier. Morsy [22] proposed a method that incorporates Pythagorean Fuzzy Number into risk return rate, portfolio risk amount, and expected return rate. Finally, an example was used to verify the effectiveness of the proposed method.…”

Section: Interval-valued Picture Fuzzy Setmentioning

confidence: 99%

A novel MCDM approach for design concept evaluation based on interval-valued picture fuzzy sets

Ma,

Sun,

Chen

et al. 2023

PLoS ONE

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The assessment of design concepts presents an efficient and effective strategy for businesses to strengthen their competitive edge and introduce market-worthy products. The widely accepted viewpoint acknowledges this as a intricate multi-criteria decision-making (MCDM) approach, involving a multitude of evaluative criteria and a significant amount of data that is frequently ambiguously defined and subjectively influenced. In order to tackle the problems of uncertainty and fuzziness in design concept evaluation, our research creatively combines interval-valued picture fuzzy set (IVPFS) with an MCDM process of design concept evaluation. Firstly, this study draws on the existing relevant literature and the experience of decision makers to identify some important criteria and corresponding sub-criteria and form a scientific evaluation indicator system. We then introduce the essential operational concepts of interval-valued picture fuzzy numbers (IVPFNs) and the interval-valued picture fuzzy ordered weighted interactive averaging (IVPFOWIA) operator. Thirdly, an entropy weighting method based on IVPFS is proposed in this research to calculate the weights of criteria and sub-criteria, and based on this, an integrated IVPF decision matrix is further constructed based on the presented IVPFOWIA operator. Finally, the best design concept alternative is selected by applying the extended TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach with IVPFS. The IVPFS combined with improved MCDM method have been proven to be superior in complex and uncertain decision-making situations through experiments and comparative assessments. The information ambiguity in the evaluation of design concept is well characterized by our augmentation based on IVPFS.

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“…When this is the case, the best investing strategy will concentrate on buying stocks, assets, and other types of investments that offer the chance for a higher return on investment. While there is the potential for greater profits, the investments additionally are more unpredictable, which raises the risk of suffering some short-term losses (El-Morsy, 2023). In contrast to volatility, which is a negative factor for investors, getting a high profit is a positive factor (Vlasenko, 2023).…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Method for Optimizing Portfolios Using a Combined Monte Carlo and Markowitz Model: Approach on Python

Mallieswari,

Palanisamy,

Senthilnathan

et al. 2024

Economics

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The main of the study is to comprehend how the mean variance efficient frontier method may be used in conjunction with Markowitz portfolio theory to produce an optimal portfolio. The study uses daily observations 8 pharma companies closing price namely Auropharma, Granules, Glaxo, Lauruslabs, Pfizer, Sanofi and Torntpharma. Further, Nifty pharma index is considered as benchmark index to check the performance of the chosen companies. The study chosen the reference period from 2020 to 2023 and required data has been extracted from the National Stock Exchange (NSE). This research is based on implementing a stochastic method for efficient portfolio optimisation employing a blended Monte Carlo and Markowitz model. In order to forecast the price of these indices in the future and to determine the likelihood of profit or loss while investing in a portfolio of stocks representing the aforementioned indices, the study also uses Monte Carlo simulation. The study involves two algorithms, namely the deterministic optimisation algorithm, which uses Markowitz Portfolio Theory, and the probabilistic optimisation algorithm, which uses Monte Carlo simulation. The study employed correlation matrix to find the exist relationship between the chosen companies and benchmark index. Also, expected return and volatility has been identified with the help of standard deviation using Python. The study found that the NIFTY Pharma index offers a higher return of 14.35. In addition to this, NIFTY Pharma portfolio’s volatility is considerably higher. The study concludes that the NIFTY pharma portfolio is more suitable for those investors who have an appetite for risk.

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Stock Portfolio Optimization Using Pythagorean Fuzzy Numbers

Abstract: ȹ ǚ 2023 by the authors. Licensee Acadlore Publishing Services Limited, Hong Kong. This article can be downloaded for free, and reused and quoted with a citation of the original published version, under the CC BY 4.0 license.

Cited by 15 publications

References 19 publications

IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers

IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers

A novel MCDM approach for design concept evaluation based on interval-valued picture fuzzy sets

A Stochastic Method for Optimizing Portfolios Using a Combined Monte Carlo and Markowitz Model: Approach on Python

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