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A comparative analysis of promethee, ahp and topsis aiding in financial analysis of firm performance

Sharma A., Kuur G., Bansal J.

Annals of Computer Science and Information Systems

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2018

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Vol. 14

145--150

EN

Multi-criteria decision making methods are extensively used in the decision making problems. Decision making is the activity of a person that helps obtain responses to the questions posed by a stakeholder in a decision process. This study compares the financial performance of seven companies in the banking sector listed on the National Stock Exchange (NSE) for years from 2014 to 2017. The PROMETHEE, AHP and TOPSIS methods are used independently to evaluate the financial performance and to decide on the best performing firm for the four year period. The evaluated ranks are then compared with the actual ranks (based on investments) using Spearman's rank correlation. The calculation of financial performance measures is based on four main criteria and nine sub-criteria. Using the following methods, our study suggests that Punjab National Bank (PNB) has the best financial performance as compared to other companies.

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Automatic Enhancement of the Reference Set for Multi-Criteria Sorting in The Frame of Theseus Method

Fernandez E., Navarro J., Salomon E.

Foundations of Computing and Decision Sciences

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2014

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Vol. 39, No. 2

57--77

EN

Some recent works have established the importance of handling abundant reference information in multi-criteria sorting problems. More valid information allows a better characterization of the agent’s assignment policy, which can lead to an improved decision support. However, sometimes information for enhancing the reference set may be not available, or may be too expensive. This paper explores an automatic mode of enhancing the reference set in the framework of the THESEUS multi-criteria sorting method. Some performance measures are defined in order to test results of the enhancement. Several theoretical arguments and practical experiments are provided here, supporting a basic advantage of the automatic enhancement: a reduction of the vagueness measure that improves the THESEUS accuracy, without additional efforts from the decision agent. The experiments suggest that the errors coming from inadequate automatic assignments can be kept at a manageable level.

3

Multicriteria rankings of open-end investment funds and their stability

Sielska A.

Operations Research and Decisions

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2010

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Vol. 20, No. 1

111-129

EN

For research purposes, three multicriteria outranking methods (PROMETHEE, WSA and TOPSIS) were used to construct rankings of investment funds to assess their performance in the time period from January to July 2008. Nine indicators related to the distributions of return rates, purchase and management costs and to customers’ convenience were included in the set of criteria. The weight of each criterion was calculated on the basis of the relative volatility rate of the given criterion. In order to assess the stability of the rankings, the weight of a single criterion was changed (using each criterion in turn) and new rankings were constructed using the modified weights. The similarity of rankings built before and after these changes was assessed on the basis of the maximum difference between ranks and the Spearman correlation coefficient. The results obtained enable assessment not only of the stability of each outranking method, but the similarity of results obtained by different methods as well. All calculations were done using the SANNA software.