{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:29:52Z","timestamp":1743150592860,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031682100"},{"type":"electronic","value":"9783031682117"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-68211-7_1","type":"book-chapter","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T10:02:28Z","timestamp":1723629748000},"page":"3-20","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ANFIS-Based Investment Recommendations for Government Bonds: Personalized Approach"],"prefix":"10.1007","author":[{"given":"Asefeh","family":"Asemi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adeleh","family":"Asemi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Ko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,15]]},"reference":[{"issue":"3","key":"1_CR1","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"J-SR Jang","year":"1993","unstructured":"Jang, J.-S.R.: ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23(3), 665\u2013685 (1993)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"1_CR2","unstructured":"AKK. Hungarian Government Bond (MAK) (2022). https:\/\/akk.hu\/content\/path=hg-bond. Accessed 3 Mar 2024"},{"key":"1_CR3","unstructured":"Hungarian National Bank. Government bond and securities issued with government guarantees or sureties purchase: Purchases of government bonds (2022). https:\/\/www.mnb.hu\/en\/monetary-policy\/monetary-policy-instruments\/asset-purchase-programs\/government-bond-and-securities-issued-with-government-guarantees-or-sureties-purchase. Accessed 3 Mar 2024"},{"issue":"1","key":"1_CR4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1186\/s40537-023-00784-7","volume":"10","author":"A Asemi","year":"2023","unstructured":"Asemi, A., Asemi, A., Ko, A.: Adaptive neuro-fuzzy inference system for customizing investment type based on the potential investors\u2019 demographics and feedback. Journal of Big Data 10(1), 87 (2023). https:\/\/doi.org\/10.1186\/s40537-023-00784-7","journal-title":"Journal of Big Data"},{"key":"1_CR5","doi-asserted-by":"publisher","unstructured":"Asemi, A., Asemi, A., Ko, A.: Investment recommender system model based on the potential investors\u2019 key decision factors. Big Data (2023b).https:\/\/doi.org\/10.1089\/big.2022.0302","DOI":"10.1089\/big.2022.0302"},{"key":"1_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-023-08102-2","author":"A Asemi","year":"2023","unstructured":"Asemi, A., Asemi, A., Ko, A.: Unveiling the impact of managerial traits on investor decision prediction: ANFIS approach. Soft. Comput. (2023). https:\/\/doi.org\/10.1007\/s00500-023-08102-2","journal-title":"Soft. Comput."},{"key":"1_CR7","doi-asserted-by":"publisher","unstructured":"Lin, Y.-L., Lai, C.-J., Pai, P.-F.: Using deep learning techniques in forecasting stock markets by hybrid data with multilingual sentiment analysis. Electronics 11(21), Article 21 (2022). https:\/\/doi.org\/10.3390\/electronics11213513","DOI":"10.3390\/electronics11213513"},{"key":"1_CR8","doi-asserted-by":"publisher","unstructured":"Wang, X., Chen, Y., Jin, J., Zhang, B.: Fuzzy-clustering and fuzzy network based interpretable fuzzy model for prediction. Sci. Rep. 12(1), Article 1 (2022). https:\/\/doi.org\/10.1038\/s41598-022-20015-y","DOI":"10.1038\/s41598-022-20015-y"},{"key":"1_CR9","doi-asserted-by":"publisher","unstructured":"Davies, I.N., Ene, D., Cookey, I.B., Lenu, G.F.: Implementation of a type-2 fuzzy logic based prediction system for the nigerian stock exchange (2022). https:\/\/doi.org\/10.48550\/arXiv.2202.02107","DOI":"10.48550\/arXiv.2202.02107"},{"key":"1_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.104045","volume":"133","author":"E Szafranko","year":"2022","unstructured":"Szafranko, E., Srokosz, P.E., Jurczak, M., \u015amieja, M.: Application of ANFIS in the preparation of expert opinions and evaluation of building design variants in the context of processing large amounts of data. Autom. Constr. 133, 104045 (2022). https:\/\/doi.org\/10.1016\/j.autcon.2021.104045","journal-title":"Autom. Constr."},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Paryudi, I., Ashari, A., Mustofa, K.: The performance of personality-based recommender system for fashion with demographic data-based personality prediction. Int. J. Adv. Comput. Sci. Appl. 13(1), 360\u2013368. (2022). https:\/\/www.webofscience.com\/wos\/woscc\/full-record\/WOS:000754700200001","DOI":"10.14569\/IJACSA.2022.0130145"},{"key":"1_CR12","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4984265","volume":"2021","author":"X Chen","year":"2021","unstructured":"Chen, X., Ye, S., Huang, C.: Cluster-based mutual fund classification and price prediction using machine learning for Robo-advisors. Comput. Intell. Neurosci. 2021, e4984265 (2021). https:\/\/doi.org\/10.1155\/2021\/4984265","journal-title":"Comput. Intell. Neurosci."},{"issue":"1","key":"1_CR13","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1186\/s40537-021-00529-4","volume":"8","author":"T Kov\u00e1cs","year":"2021","unstructured":"Kov\u00e1cs, T., Ko, A., Asemi, A.: Exploration of the investment patterns of potential retail banking customers using two-stage cluster analysis. J. Big Data 8(1), 141 (2021). https:\/\/doi.org\/10.1186\/s40537-021-00529-4","journal-title":"J. Big Data"},{"key":"1_CR14","unstructured":"Asemi, A., Ko, A.: A novel combined business recommender system model using customer investment service feedback. In: Proceeding of the 34th Bled eConference, June 27\u201330, 2021, Bled, Slovenia (2021)"},{"issue":"3","key":"1_CR15","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1108\/RBF-03-2019-0044","volume":"12","author":"J Jain","year":"2019","unstructured":"Jain, J., Walia, N., Gupta, S.: Evaluation of behavioral biases affecting investment decision making of individual equity investors by fuzzy analytic hierarchy process. Rev. Behav. Finan. 12(3), 297\u2013314 (2019). https:\/\/doi.org\/10.1108\/RBF-03-2019-0044","journal-title":"Rev. Behav. Finan."},{"key":"1_CR16","doi-asserted-by":"publisher","unstructured":"Huang, Y., Capretz, L.F., Ho, D.: Neural network models for stock selection based on fundamental analysis. In: 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), pp. 1\u20134 (2019). https:\/\/doi.org\/10.1109\/CCECE.2019.8861550","DOI":"10.1109\/CCECE.2019.8861550"},{"key":"1_CR17","unstructured":"D\u2019lima, N., Khan, S.: FOREX rate prediction using ANN and ANFIS Conference (2016). https:\/\/www.semanticscholar.org\/paper\/FOREX-rate-prediction-using-ANN-and-ANFIS-D%27lima-Khan\/6817d1cc9f7ac35cf28404f0e17e358b54fa16d1"},{"issue":"2","key":"1_CR18","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1057\/s41260-020-00156-3","volume":"21","author":"D Bektic","year":"2020","unstructured":"Bektic, D., Hachenberg, B., Schiereck, D.: Factor-based investing in government bond markets: a survey of the current state of research. J. Asset Manag. 21(2), 94\u2013105 (2020). https:\/\/doi.org\/10.1057\/s41260-020-00156-3","journal-title":"J. Asset Manag."},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jimonfin.2017.01.007","volume":"73","author":"S Eichler","year":"2017","unstructured":"Eichler, S., Plaga, T.: The political determinants of government bond holdings. J. Int. Money Financ. 73, 1\u201321 (2017). https:\/\/doi.org\/10.1016\/j.jimonfin.2017.01.007","journal-title":"J. Int. Money Financ."},{"key":"1_CR20","doi-asserted-by":"publisher","unstructured":"Laborda, R., Munoz, F.: Optimal allocation of government bond funds through the business cycle. Money Smart? Int. Rev. Econ. Finan. 45, 46\u201367 (2016). https:\/\/doi.org\/10.1016\/j.iref.2016.04.008","DOI":"10.1016\/j.iref.2016.04.008"},{"key":"1_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.omega.2014.04.005","volume":"49","author":"A Bilbao-Terol","year":"2014","unstructured":"Bilbao-Terol, A., Arenas-Parra, M., Canal-Fernandez, V., Antomil-Ibias, J.: Using TOPSIS for assessing the sustainability of government bond funds. Omega-Int. J. Manag. Sci. 49, 1\u201317 (2014). https:\/\/doi.org\/10.1016\/j.omega.2014.04.005","journal-title":"Omega-Int. J. Manag. Sci."},{"issue":"1","key":"1_CR22","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.ejpoleco.2010.07.002","volume":"27","author":"J von Hagen","year":"2011","unstructured":"von Hagen, J., Schuknecht, L., Wolswijk, G.: Government bond risk premiums in the EU revisited: The impact of the financial crisis. Eur. J. Polit. Econ. 27(1), 36\u201343 (2011). https:\/\/doi.org\/10.1016\/j.ejpoleco.2010.07.002","journal-title":"Eur. J. Polit. Econ."},{"issue":"1","key":"1_CR23","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1017\/S0022109009990494","volume":"45","author":"C Favero","year":"2010","unstructured":"Favero, C., Pagano, M., von Thadden, E.-L.: How does liquidity affect government bond yields? J. Finan. Quant. Analy. 45(1), 107\u2013134 (2010). https:\/\/doi.org\/10.1017\/S0022109009990494","journal-title":"J. Finan. Quant. Analy."},{"key":"1_CR24","doi-asserted-by":"publisher","unstructured":"Abraham, R., et al.: Forecasting a stock trend using genetic algorithm and random forest. J. Risk Finan. Manag. 15(5), Article 5. (2022). https:\/\/doi.org\/10.3390\/jrfm15050188","DOI":"10.3390\/jrfm15050188"},{"key":"1_CR25","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/3839071","volume":"2021","author":"Z Jankov\u00e1","year":"2021","unstructured":"Jankov\u00e1, Z., Dost\u00e1l, P.: Type-2 fuzzy expert system approach for decision-making of financial assets and investing under different uncertainty. Math. Probl. Eng. 2021, e3839071 (2021). https:\/\/doi.org\/10.1155\/2021\/3839071","journal-title":"Math. Probl. Eng."},{"key":"1_CR26","unstructured":"Jankova, Z.: Application of artificial neural networks and fuzzy logic in stock trading. In: K. S. Soliman (ed.), Education Excellence and Innovation Management Through Vision 2020 (pp. 2610\u20132619). Int Business Information Management Assoc-Ibima (2019). https:\/\/www.webofscience.com\/wos\/woscc\/full-record\/WOS:000503988804022"},{"key":"1_CR27","doi-asserted-by":"publisher","unstructured":"Thompson, J.R.J., Feng, L., Reesor, R.M., Grace, C.: Know your clients\u2019 behaviours: a cluster analysis of financial transactions. J. Risk Finan. Manag. 14(2), Article 2 (2021). https:\/\/doi.org\/10.3390\/jrfm14020050","DOI":"10.3390\/jrfm14020050"},{"key":"1_CR28","unstructured":"Ko, H.: Cluster analysis on stock selection. Medium (2020). https:\/\/towardsdatascience.com\/clustering-analysis-on-stock-selection-2c2fd079b295"},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Mishra, D., Satapathy, S.: Application of fuzzy expert system for prediction of farmer muscle strength. Adv. Environ. Eng. Green Technol. 195 (2020). https:\/\/www.academia.edu\/53451133\/Application_of_Fuzzy_Expert_System_for_Prediction_of_Farmer_Muscle_Strength","DOI":"10.4018\/978-1-5225-9175-7.ch011"}],"container-title":["Lecture Notes in Computer Science","Electronic Government and the Information Systems Perspective"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-68211-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T10:02:41Z","timestamp":1723629761000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-68211-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031682100","9783031682117"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-68211-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"15 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EGOVIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Electronic Government and the Information Systems Perspective","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Naples","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"egovis2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/egovis2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}