Decision-making Model Construction of Enterprise Marketing Outlet Resource Allocation by Integrating Fuzzy Logic

[1] Sohaib, O., Naderpour, M., Hussain, W., & Martinez, L. (2019). Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method. Computers & Industrial Engineering, 132, 47-58. Search in Google Scholar

[2] Jiang, X., Ding, H., Shi, H., & Li, C. (2020). Novel QoS optimization paradigm for IoT systems with fuzzy logic and visual information mining integration. Neural Computing and Applications, 32(21), 16427-16443. Search in Google Scholar

[3] Zolfani, S. H., Görener, A., & Toker, K. (2023). A hybrid fuzzy MCDM approach for prioritizing the solutions of resource recovery business model adoption to overcome its barriers in emerging economies. Journal of Cleaner Production, 413, 137362. Search in Google Scholar

[4] Anbuudayasankar, S. P., Srikanthan, R., Karthik, M., Nair, P. R., Sivakarthik, N., & Indukumar, P. (2020). Cloud-based technology for small and medium scale enterprises: A decision-making paradigm using IPA, AHP and fuzzy-AHP techniques. International Journal of Integrated Supply Management, 13(4), 335-352. Search in Google Scholar

[5] Ecer, F., & Torkayesh, A. E. (2022). A stratified fuzzy decision-making approach for sustainable circular supplier selection. IEEE Transactions on Engineering Management, 71, 1130-1144. Search in Google Scholar

[6] Hussain, W., Sohaib, O., Naderpour, M., & Gao, H. (2020). Cloud marginal resource allocation: a decision support model. Mobile Networks and Applications, 25, 1418-1433. Search in Google Scholar

[7] Bozanic, D., Tešić, D., Marinković, D., & Milić, A. (2021). Modeling of neuro-fuzzy system as a support in decision-making processes. Reports in Mechanical Engineering, 2(1), 222-234. Search in Google Scholar

[8] Sagnak, M., & Kazancoglu, Y. (2019). IntegraFuzzy analytic network process and 0-1 goal programming technique for enterprise resource planning (Erp) software selection. Ege Academic Review, 19(1), 75-88. Search in Google Scholar

[9] Tao, Z., Si Jun, B., & Xi Bai, R. (2021). Research on marketing management system based on independent ERP and business BI using fuzzy TOPSIS. Journal of Intelligent & Fuzzy Systems, 40(4), 8247-8255. Search in Google Scholar

[10] Hamidi, H. (2018). A combined fuzzy method for evaluating criteria in enterprise resource planning implementation. In Intelligent systems: Concepts, methodologies, tools, and applications (pp. 639-670). IGI Global. Search in Google Scholar

[11] Zhao, C., Xue, Y., & Niu, T. (2021). Enterprise human resource management index based on fuzzy system. Journal of intelligent & fuzzy systems, 40(2), 3137-3146. Search in Google Scholar

[12] Lee, A. H., Chen, S. C., & Kang, H. Y. (2020). A decision-making framework for evaluating enterprise resource planning systems in a high-tech industry. Quality Technology & Quantitative Management, 17(3), 319-336. Search in Google Scholar

[13] Boloș, M. I., Bradea, I. A., & Delcea, C. (2019). A fuzzy logic algorithm for optimizing the investment decisions within companies. Symmetry, 11(2), 186. Search in Google Scholar

[14] Deb, P. P., Bhattacharya, D., Chatterjee, I., Saha, A., Mishra, A. R., & Ahammad, S. H. (2022). A decision-making model with intuitionistic fuzzy information for selection of enterprise resource planning systems. IEEE Transactions on Engineering Management, 71, 4820-4834. Search in Google Scholar