Decision based on Soft Computing
Hamzeh Amin-Tahmasbi; Mahdi Alireza
Abstract
Purpose: Choosing stocks has always been one of the investors' concerns. The primary purpose of this study is to identify the factors affecting the decision-making and ranking of stocks in the stock exchange's three metal, chemical and pharmaceutical industries according to the importance of these industries.Methodology: ...
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Purpose: Choosing stocks has always been one of the investors' concerns. The primary purpose of this study is to identify the factors affecting the decision-making and ranking of stocks in the stock exchange's three metal, chemical and pharmaceutical industries according to the importance of these industries.Methodology: The statistical sample of this research includes the shares of 84 companies in these three industries, which have been examined based on the data of 2021. First, stock rating factors were extracted by reviewing the research background. Experts used these factors in this field, and the final factors were selected after screening. Weighting and prioritization of these factors were done using the fuzzy SWARA method. According to the weight of the factors obtained from the fuzzy ride method and companies' financial information, the COCOSO method was used to rank the target stocks.Findings: The results showed that price-income ratio, operating profit margin, and percentage of return on capital are the essential criteria for experts. Also, Fasabezvar, Fasmin, and Vetoka from the metal group, Vepakhsh, Desobha, and Depars from the pharmaceutical and shoyande, Shepdis and Shefan from the chemical group won the first and third places.Originality/Value: In the last four years, various works have been done in this field, but less work has paid attention to the uncertainty in experts' opinions. Regarding other innovations of this article, it can be pointed out that the three industries of metal, chemical, and pharmaceutical, due to the importance of these industries, have not been specifically studied. Regarding the method of prioritizing criteria and stocks, less attention has been paid to new decision-making methods and uncertainty in decisions. Therefore, using new techniques, the importance of criteria can be determined with higher accuracy, and a better return on investment can be obtained.
Multi-Attribute Decision Making
Rouhollah Kiani Ghaleh no
Abstract
In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking mechanism in TOPSIS method based on performance ...
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In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking mechanism in TOPSIS method based on performance distance measurement is from positive ideal and negative ideal and the existence of Outlier-data can have a negative impact on the calculations. in this study the modification of TOPSIS method so that Be able to control Outlier-data, is on the agenda. For this purpose modified algorithm TOPSIS method is introduced. With the aim of validating the proposed algorithm, the performance of 1951 branches of agri-Bank in the case study section has been evaluated and the results have been compared with the standard TOPSIS method. Calculation of the modified TOPSIS method by considering different coefficients of data scatter control and examination of the correlation coefficients show that the modified TOPSIS method has been able to control Outlier data well.