A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN
  • Metaadatok
Tartalom: https://unipub.lib.uni-corvinus.hu/10474/
Archívum: Corvinus Kutatások
Gyűjtemény: Status = Published
Subject = Computer science
Subject = Finance
Subject = Decision making
Type = Article
Cím:
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN
Létrehozó:
Asemi, Asefeh
Asemi, Adeleh
Kő, Andrea
Kiadó:
Springer
Dátum:
2024
Téma:
Decision making
Finance
Computer science
Tartalmi leírás:
This article presents an investment recommender system based on an Adaptive NeuroFuzzy Inference System (ANFIS) and pre-trained weights from a Multimodal Neural Network (MNN). The model is designed to support the investment process for the customers and takes into consideration seven factors to implement the proposed investment system model through the customer or potential investor data set. The system takes input from a web-based questionnaire that collects data on investors’ preferences and investment goals. The data is then preprocessed and clustered using ETL tools, JMP, MATLAB, and Python. The ANFIS-based recommender system is designed with three inputs and one output and trained using a hybrid approach over three epochs with 188 data pairs and 18 fuzzy rules. The system’s performance is evaluated using metrics such as RMSE, accuracy, precision, recall, and F1-score. The system is also designed to incorporate expert feedback and opinions from investors to customize and improve investment recommendations. The article concludes that the proposed ANFIS-based investment recommender system is effective and accurate in generating investment recommendations that meet investors’ preferences and goals.
Nyelv:
angol
angol
Típus:
Article
PeerReviewed
Formátum:
application/pdf
Azonosító:
Asemi, Asefeh, Asemi, Adeleh and Kő, Andrea ORCID: https://orcid.org/0000-0003-0023-1143 <https://orcid.org/0000-0003-0023-1143> (2024) A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN. Journal of Big Data, 11 . DOI 10.1186/s40537-024-00965-y <https://doi.org/10.1186/s40537-024-00965-y>
Kapcsolat:
10.1186/s40537-024-00965-y