An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making

• Published in: Technological forecasting & social change Vol. 173; p. 121158
• Main Authors: Heidary Dahooie, Jalil, Raafat, Romina, Qorbani, Ali Reza, Daim, Tugrul
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.12.2021; Elsevier Science Ltd
• Subjects: Consumers; Customers; Data mining; Decision analysis; Decision making; Feature extraction; Fuzzy sets; IF-IDOCRIW; Intuitionistic fuzzy sets; Multi-criteria decision-making; Multiple criteria decision making; Multiple criterion; Online reviews; Product ranking; Product specifications; Ranking; Ratings & rankings; Sensitivity analysis; Sentiment analysis; Websites; Sentiment analysis; Intuitionistic fuzzy sets; IF-IDOCRIW; Multi-criteria decision-making; Online reviews; Product ranking

•Combining SA, IFS and MCDM techniques to rank products through OCRs.•Reflecting on real-life conditions in data-driven decision making through IFS theory.•Developing novel IF-IDOCRIW method to determine the weight of features.•Using sensitivity analysis used to determine the robustness of method an...