Evaluation of Private Banks using PROMETHEE Method

In this study, a range of multi-criteria decision-making approaches is used to analyze the performance of Indian private-sector banks. Data was collected and performance was evaluated by taking into account a variety of inputs and outputs using annual reports from the relevant banks. For data analysis, PROMETHEE, a crucial multi-criteria decision-making (MCDM) technique, is employed. The research indicates that HDFC is the private sector bank with the best performance and establishes a standard. By the implementation of MCDM techniques i.e. PROMETHEE ICICI is ranked first followed by HDFC at the second spot. Different methodologies have led to different rankings for other institutions. To extend the time range of analysis after the PROMETHEE rankings have been obtained, future studies on the performance of banks may compare various bank types. According to the findings, private sector banks should invest in areas that will provide income to improve their performance. Efficiency needs to be raised if businesses are to survive in the market and compete with the government and foreign institutions. These findings are beneficial to a wide range of participants, especially investors who want to comprehend the value of banks as possible investment targets. For the first time, scientists have combined MCDM strategies like PROMETHEE. MCDM techniques have been used to examine specific inputs and outputs for private sector banks to determine performance.

Parameswar, Nakul, Swati Dhir, and Sanjay Dhir. “Banking on innovation, innovation in banking at ICICI bank.” Global Business and Organizational Excellence36, no. 2 (2017): 6-16.

Jeet, Vikram, and Dr Sayeeduzzafar. “A study of HRM practices and its impact on employees job satisfaction in private sector banks: A case study of HDFC Bank.” International Journal of Advance Research in Computer Science and Management Studies2, no. 1 (2014).

Srinivas, K., and L. Saroja. “Comparative financial performance of HDFC Bank and ICICI Bank.” International Refereed Multidisciplinary Journal of Contemporary Research1, no. 2 (2013): 108-126.

Khan, Hera, Ayush Srivastav, and Amit Kumar Mishra. “Multiclass Intent Analysis: Beyond the Conventional Polarities.” ECS Transactions107, no. 1 (2022): 7119.

Adhana, Deepak, and Neelam Gulati. “Financial Performance Analysis: A Comparative Study of AXIS Bank and ICICI Bank.” Journal of Information and Computational Science9, no. 7 (2019).

Kshirsagar, Pravin, Akshay Pote, K. K. Paliwal, Vaibhav Hendre, Pranav Chippalkatti, and Nikhil Dhabekar. “A review on IOT based health care monitoring system.” ICCCE 2019(2020): 95-100.

Sama, Hanumantha Rao, Sri Venkateswara Kumar Kosuri, and Sripathi Kalvakolanu. “Evaluating and ranking the Indian private sector banks—A multi‐criteria decision‐making approach.” Journal of Public Affairs22, no. 2 (2022): e2419.

Sreejith, R., Vijesh Vijayan, and A. J. Francis. “Design and Implementation of Open Journal System (OJS) for Rajagiri Journals: A Review.” (2019).

Banerjee, Soumya, Sayan Gupta, Amlan Ghosh, and Gautam Bandyopadhyay. “Optimal Portfolio Selection of Equity Mutual Funds using Genetic Algorithm: An Indian Perspective.” Mathematical Statistician and Engineering Applications71, no. 4 (2022): 4620-4631.

Kumar, Anil, Saleh A. Alghamdi, Abolfazl Mehbodniya, Julian L. Webber, and Shavkatov Navruzbek Shavkatovich. “Smart power consumption management and alert system using IoT on big data.” Sustainable Energy Technologies and Assessments53 (2022): 102555.

Panwar, Sharad, and R. Madhumathi. “Characteristics and performance evaluation of selected mutual funds in India.” In Indian Institute of Capital Markets 9th Capital Markets Conference Paper. 2006.

Khan, Hera, Ayush Srivastav, Amit Kumar Mishra, and Tien Anh Tran. “Machine learning methods for estimating permeability of a reservoir.” International Journal of System Assurance Engineering and Management(2022): 1-14.

Saaran, Viraat, Vaishali Kushwaha, Sachi Gupta, and Gaurav Agarwal. “A Literature Review on Generative Adversarial Networks with Its Applications in Healthcare.” In Congress on Intelligent Systems, pp. 215-225. Springer, Singapore, 2020.

Jain, Sahil, and Aditi Gangopadhyay. “Analysis of equity based mutual funds in India.” OSR journal of business and management (IOSRJBM)2, no. 1 (2012): 1-4.

Nautiyal, Aditi, and Amit Kumar Mishra. “Machine learning approach for intelligent prediction of petroleum upstream stuck pipe challenge in oil and gas industry.” Environment, Development and Sustainability(2022): 1-27.

Chawla, Deepak. “An empirical analysis of factors influencing investment in mutual funds in India.” Global Business Review15, no. 3 (2014): 493-503.

Kshirsagar, Pravin R., and Sudhir G. Akojwar. “Prediction of neurological disorders using optimized neural network.” In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1695-1699. IEEE, 2016.

Kumar Pandey, Rakesh, Shrey Aggarwal, Griesha Nath, Anil Kumar, and Behzad Vaferi. “Metaheuristic algorithm integrated neural networks for well-test analyses of petroleum reservoirs.” Scientific Reports12, no. 1 (2022): 1-16.

Pal, Ms Shilpi, and Arti Chandani. “A critical analysis of selected mutual funds in India.” Procedia Economics and Finance11 (2014): 481-494.

Gupta, Sachi, and Gaurav Agarwal. “Hybrid fuzzy-based Deep Remora Reinforcement Learning Based Task Scheduling in Heterogeneous Multicore-processor.” Microprocessors and Microsystems92 (2022): 104544.

Choudhary, Vikas, and Preeti Sehgal Chawla. “Performance Evaluation of Mutual Funds: A Study of Selected Diversified Equity Mutual Funds in India.” In International Conference on Business, Law and Corporate Social Responsibility, vol. 2, no. 10. 2014.

Sreejith, R., and S. Senthil. “Framework for concealing medical data in images using modified Hill cipher, multi-bit EF and ECDSA.” International Journal of Information and Communication Technology19, no. 2 (2021): 168-183.

Tripathi, Shivam, and Dr Gurudutta P. Japee. “Performance Evaluation of Selected Equity Mutual Funds in India.” Gap Gyan-A Global Journal of Social Sciences(2020).

Talwar, Akshit, Alka Chaudhary, and Anil Kumar. “Encryption Policies of Social Media Apps and Its Effect on User’s Privacy.” In 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), pp. 1-4. IEEE, 2022.

Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “IOT based Automated Greenhouse Using Machine Learning Approach.” International Journal of Intelligent Systems and Applications in Engineering10, no. 2 (2022): 226-231.

Deb, Soumya Guha, Ashok Banerjee, and B. B. Chakrabarti. “Market timing and stock selection ability of mutual funds in India: an empirical investigation.” Vikalpa32, no. 2 (2007): 39-52.

Kshirsagar, Pravin R., Anil N. Rakhonde, and Pranav Chippalkatti. “MRI image based brain tumor detection using machine learning.” Test Engineering and Management81 (2020): 3672-3680.

KEYWORD, USING DENSITY OF. “WEB GRAPH BASED SEARCH BY USING DENSITY OF KEYWORD AND AGE FACTOR.” (2013).

Albadvi, Amir, S. Kamal Chaharsooghi, and Akbar Esfahanipour. “Decision making in stock trading: An application of PROMETHEE.” European journal of operational research177, no. 2 (2007): 673-683.

De Keyser, Wim, and Peter Peeters. “A note on the use of PROMETHEE multicriteria methods.” European journal of operational research89, no. 3 (1996): 457-461.

Agarwal, Gaurav, Hari Om, and Sachi Gupta. “A learning framework of modified deep recurrent neural network for classification and recognition of voice mood.” International Journal of Adaptive Control and Signal Processing36, no. 8 (2022): 1835-1859.

Anand, Gapesh, and Rambabu Kodali. “Selection of lean manufacturing systems using the PROMETHEE.” Journal of modelling in management(2008).

Bangroo, Rashika, Utsav Gupta, Roshan Sah, and Anil Kumar. “Cryptocurrency Price Prediction using Machine Learning Algorithm.” In 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), pp. 1-4. IEEE, 2022.

Arya, Vishakha, Amit Kumar Mishra Mishra, and Alfonso González-Briones. “Analysis of sentiments on the onset of Covid-19 using Machine Learning Techniques.” ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal11, no. 1: 45-63.

Briggs, Th, P. L. Kunsch, and Bertrand Mareschal. “Nuclear waste management: an application of the multicriteria PROMETHEE methods.” European Journal of Operational Research44, no. 1 (1990): 1-10.

Akojwar, Sudhir G., and Pravin R. Kshirsagar. “Performance evolution of optimization techniques for mathematical benchmark functions.” International Journal of Computers1 (2016).

Sreejith, R., and S. Senthil. “Dynamic Data Infrastructure Security for Interoperable e-Healthcare Systems: A Semantic Feature-Driven NoSQL Intrusion Attack Detection Model.” BioMed Research International2022 (2022).

Oberschmidt, Julia, Jutta Geldermann, Jens Ludwig, and Meike Schmehl. “Modified PROMETHEE approach for assessing energy technologies.” international Journal of energy sector management(2010).

Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “Automatic crop disease recognition by improved abnormality segmentation along with heuristic-based concatenated deep learning model.” Intelligent Decision TechnologiesPreprint: 1-23.

Agarwal, Gaurav, Vikas Maheshkar, Sushila Maheshkar, and Sachi Gupta. “Vocal Mood Recognition: Text Dependent Sequential and Parallel Approach.” In Applications of Artificial Intelligence Techniques in Engineering, pp. 131-142. Springer, Singapore, 2019.

Kumar, Anil, Rajabov Sherzod Umurzoqovich, Nguyen Duc Duong, Pratik Kanani, Arulmani Kuppusamy, M. Praneesh, and Minh Ngyen Hieu. “An intrusion identification and prevention for cloud computing: From the perspective of deep learning.” Optik270 (2022): 170044.

Athawale, Vijay Manikrao, Prasenjit Chatterjee, and Shankar Chakraborty. “Decision making for facility location selection using PROMETHEE II method.” International Journal of Industrial and Systems Engineering 111, no. 1-2 (2012): 16-30.

Akojwar, Dr Sudhir, Pravin Kshirsagar, and Vijetalaxmi Pai. “Feature extraction of EEG signals using wavelet and principal component analysis.” In National Conference on Research Trends In Electronics, Computer Science & Information Technology and Doctoral Research Meet. 2014.

Liao, Huchang, and Zeshui Xu. “Multi-criteria decision making with intuitionistic fuzzy PROMETHEE.” Journal of Intelligent & Fuzzy Systems27, no. 4 (2014): 1703-1717.

Halouani, Nesrin, Habib Chabchoub, and J-M. Martel. “PROMETHEE-MD-2T method for project selection.” European Journal of Operational Research195, no. 3 (2009): 841-849.

Singh, Prabhat Kumar, Gaurav Agarwal, and Sachi Gupta. “A new ranking technique for ranking phase of search engine: Size based ranking algorithm (SBRA).” International Journal of Computer Applications82, no. 5 (2013).

Feng, Feng, Zeshui Xu, Hamido Fujita, and Meiqi Liang. “Enhancing PROMETHEE method with intuitionistic fuzzy soft sets.” International Journal of Intelligent Systems35, no. 7 (2020): 1071-1104.

Kumar Pandey, Rakesh, Anil Kumar, Ajay Mandal, and Behzad Vaferi. “Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests.” Journal of Energy Resources Technology144, no. 11 (2022): 113002.

Mishra, Amit Kumar, and Shweta Paliwal. “Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective.” Cluster Computing(2022): 1-12.

Chou, Tien-Yin, Wen-Tzu Lin, Chao-Yuan Lin, Wen-Chieh Chou, and Pi-Hui Huang. “Application of the PROMETHEE technique to determine depression outlet location and flow direction in DEM.” Journal of Hydrology287, no. 1-4 (2004): 49-61.

Sreejith, R., and K. R. Sinimole. “Modelling evacuation preparation time prior to floods: A machine learning approach.” Sustainable Cities and Society87 (2022): 104257.

Kshirsagar, Pravin, and Dr Sudhir Akojwar. “Classification and Prediction of Epilepsy using FFBPNN with PSO.” In IEEE international conference on communication networks, vol. 17. 2015.

Gupta, Rajesh, Anish Sachdeva, and Arvind Bhardwaj. “Selection of logistic service provider using fuzzy PROMETHEE for a cement industry.” Journal of Manufacturing Technology Management(2012).

Farooqui, Nafees Akhter, Amit Kumar Mishra, and Ritika Mehra. “Concatenated deep features with modified LSTM for enhanced crop disease classification.” International Journal of Intelligent Robotics and Applications(2022): 1-25.

Van Huylenbroeck, Guido. “The conflict analysis method: bridging the gap between ELECTRE, PROMETHEE and ORESTE.” European Journal of Operational Research82, no. 3 (1995): 490-502.

Kapoor, Nishant Raj, Ashok Kumar, Anuj Kumar, Anil Kumar, and Krishna Kumar. “Transmission Probability of SARS-CoV-2 in Office Environment Using Artificial Neural Network.” IEEE Access10 (2022): 121204-121229.

Agarwal, Gaurav, Vikas Maheshkar, Sushila Maheshkar, and Sachi Gupta. “Recognition of emotions of speech and mood of music: a review.” In International Conference on Wireless Intelligent and Distributed Environment for Communication, pp. 181-197. Springer, Cham, 2018.

Turcksin, Laurence, Annalia Bernardini, and Cathy Macharis. “A combined AHP-PROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet.” Procedia-Social and Behavioral Sciences20 (2011): 954-965.

Abin George, Arti Modi, M. Ramachandran, Chandrasekar Raja, Prabakaran Nanjundan, “Evaluation of Private Banks using PROMETHEE Method”, REST Journal on Banking, Accounting and Business, 1(3), (2022):42-50.