Neutrosophic Sets and Systems
Abstract
The primary goal of this paper is to introduce a novel method for mining frequent and interesting items by incorporating correlation analysis between two items in an uncertain transactional database using the OWA operator. The work is further expanded by proposing two additional methods for mining frequent and interesting items, utilizing fuzzy means and the OWA operator along with multiple correlation analysis for more than two items in uncertain transactional databases. The effectiveness of the proposed methods is evaluated by running the algorithms on both standard and example datasets, with results compared to the traditional probabilistic approach for identifying frequent and interesting items through multiple correlation. While multiple correlation analysis highlights the relationships of interestingness and uninterestingness between items, the OWA operator enhances the results when combined with fuzzy means and probabilistic methods. Additionally, the paper suggests a future research direction using Neutrosophy logic, which is anticipated to open new avenues for further exploration in this field.
Recommended Citation
Wazir, Samar; M.M.Sufyan Beg; Tanvir Ahmad; and Shahab Saquib Sohail. "On Neutrosophy logic for Multiple Correlation Analysis in Fuzzy Uncertain Database." Neutrosophic Sets and Systems 76, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol76/iss1/1
