ANFIS based hybrid approach identifying correlation between decision making and online social networks
| Autor: | Shahid Naseem, Muhammad Rizwan, Areeba Rahman, Aysha Shabbir, Nageen Saleem, Maryam Shabbir, Fahad Ahmad |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adaptive neuro fuzzy inference system
Knowledge management Process (engineering) business.industry Computer science rationality impulsive buying 05 social sciences Fuzzy model Rationality 02 engineering and technology Hybrid approach Fuzzy logic decision making Correlation Seekers online social networks lcsh:T58.6-58.62 0202 electrical engineering electronic engineering information engineering lcsh:Management information systems 020201 artificial intelligence & image processing fuzzy logic 0509 other social sciences 050904 information & library sciences business |
| Zdroj: | EAI Endorsed Transactions on Scalable Information Systems, Vol 8, Iss 29 (2021) |
| ISSN: | 2032-9407 |
| DOI: | 10.4108/eai.13-7-2018.165669 |
| Popis: | The fast-growing use of online social networks (OSNs) has prompted stakeholders to change their market strategies and hencehave raised several questions on the users' decision making (DM). OSNs, as being regularly used, have resulted in playing asignificant role in supporting consumer’s rational DM. We use a hybrid approach i.e. an online survey and fuzzy modeldevelopment to indicate how OSNs have resulted in giving an impact on the decision making. The research depicts that OSNssupport and empower users in the DM process specifically in Rationality, Design, & Choice and the model predicts the DMstrategy of each user according to their present decisions using fuzzy logic. Our results also reveal that different types of users(observers, seekers, and advisers) have significantly different participation styles, which in turn have an impact on the efficacyof the DM process. We discussed the implications for OSN designers and developers based on the findings from the research. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|