Performance evaluation of Indian electricity distribution companies: An integrated DEA-IRP-TOPSIS approach

Patyal, Vishal Singh; Kumar, Ravi; Lamba, Kuldeep; Maheshwari, Sunil Kumar

doi:10.1016/j.eneco.2023.106796

Cited by 4 publications

(1 citation statement)

References 72 publications

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“…Table 1 shows a summary of the literature review integrated with TOPSIS and other methods. [12] Petrochemical FAHP-FTOPSIS 2022 [21] Banking CRITIC-DEMATEL-TOPSIS 2016 [13] Energy FAHP-FTOPSIS 2022 [22] Stock Market Entropy-DEMATEL-TOPSIS 2018 [14] Automotive TOPSIS 2023 [23] Stock Market Entropy-FTOPSIS 2019 [15] Tourism MAUT-TOPSIS-PROMETHEE 2023 [24] Energy AHP-TOPSIS 2020 [16] Food Service TOPSIS 2023 [25] Energy DEA-IRP-TOPSIS…”

Section: Related Literaturementioning

confidence: 99%

An Integrated Fuzzy MCDM and Trend Analysis Approach for Financial Performance Evaluation of Energy Companies in Borsa Istanbul Sustainability Index

Dağıstanlı

2023

J. Soft. Comput. Decis. Anal.

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Financial performance evaluation is a great importance for companies. The aim of this study is to analyze the financial performances of energy companies traded in the Borsa Istanbul Sustainability Index in Turkey comparatively using trend analysis and multi-criteria decision making (MCDM). For this purpose, the changing values of accounting-based performance indicators over the years have been compiled from financial reports. The data were first evaluated by it was analyzed by Hesitant Fuzzy Technique for Order Preference by Similarity to Ideal Solution (HFTOPSIS). Then, it was analyzed by trend analysis for each variable separately. Comparative results show that MCDM rankings based on fuzzy set theory are different from analyzes performed alone. In addition, there is no study in the literature examining the financial performance of energy companies in Turkey based on the sustainability index.

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Section: Related Literaturementioning

confidence: 99%

An Integrated Fuzzy MCDM and Trend Analysis Approach for Financial Performance Evaluation of Energy Companies in Borsa Istanbul Sustainability Index

Dağıstanlı

2023

J. Soft. Comput. Decis. Anal.

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Efficiency evaluation of electricity distribution companies: Integrating data envelopment analysis and machine learning for a holistic analysis

Omrani,

Emrouznejad,

Teplova

et al. 2024

Engineering Applications of Artificial Intelligence

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Momentum prediction model based on BP neural network

Huo,

Lu,

Qiu

et al. 2024

Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024)

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In order to explore the mystery of momentum in the competition, so that the athletes can better maintain good momentum and win the competition, we established two models: the momentum model based on entropy weight TOPSIS method, and the performance prediction model based on BP neural network. On the basis of data preprocessing, we identified ten indicators affecting momentum, evaluated them with the TOPSIS method, and determined the target weights with the entropy weighting method, and established the momentum model to determine the performance of a player at a specific time. A BP neural network-based performance prediction model is built to analyze whether the success of the game showed a certain pattern or trend. By introducing all the data in the training set into the BP neural network, allowing it to train and learn, and then predicting the data in the test set, we validated the high accuracy of the model's predictions.

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Performance evaluation of Indian electricity distribution companies: An integrated DEA-IRP-TOPSIS approach

Cited by 4 publications

References 72 publications

An Integrated Fuzzy MCDM and Trend Analysis Approach for Financial Performance Evaluation of Energy Companies in Borsa Istanbul Sustainability Index

An Integrated Fuzzy MCDM and Trend Analysis Approach for Financial Performance Evaluation of Energy Companies in Borsa Istanbul Sustainability Index

Efficiency evaluation of electricity distribution companies: Integrating data envelopment analysis and machine learning for a holistic analysis

Momentum prediction model based on BP neural network

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