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Investigating the Correlation between Customer Retention Programs of CRM and Customer Retention in E-Banking Context., и . DEIS, том 194 из Communications in Computer and Information Science, стр. 527-536. Springer, (2011)Data aggregation in multi-source assessment model based on evidence theory., , и . Appl. Soft Comput., (2018)Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry., , , , и . Neural Comput. Appl., 32 (18): 14929-14962 (2020)Application of latent moderated structuring (LMS) to rank the effects of intervening variables on the IT and firm performance relationship., , , и . Int. J. Appl. Decis. Sci., 2 (2): 167-188 (2009)Proposing a new model to aggregate ratings in multi-source feedback approach based on the evidence theory., , и . Soft Comput., 24 (13): 9479-9494 (2020)Multi-objective optimization for inspection planning using NSGA-II., , , , , и . IEEM, стр. 1422-1426. IEEE, (2015)A Proposal Framework for Investigating Website Success in the Context of E-banking: An Analytic Network Process (ANP) Approach., , и . ITNG, стр. 1639. IEEE Computer Society, (2009)Evaluation of cloud computing risks using an integrated fuzzy-ANP and FMEA approaches., , , и . Int. J. Appl. Decis. Sci., 16 (2): 131-164 (2023)An Integrated Model of Technological and Behavioral Perspectives for Household Internet Adoption: An Empirical Study on Iranian Communities., , и . DEIS, том 194 из Communications in Computer and Information Science, стр. 653-666. Springer, (2011)The Intervening Role of Infrastructures in E-Learning Performance., , , и . DEIS, том 194 из Communications in Computer and Information Science, стр. 646-652. Springer, (2011)