Abstract
ABSTRACTA modification of the Wu–Mendel approach for linguistic summarisation (LS) of datasets is proposed in this paper. The proposed modification is a fuzzification-tuning technique that tunes the originally user defined specification of a fuzzy linguistic variable for each initial dataset attribute in the Wu–Mendel approach. The implication of the proposed technique in LS significantly decreases the complexity of linguistic summaries in terms of the number of rules and linguistic terms without the essential loss in accuracy, which is verified by carrying out the corresponding experimental analysis involving several real-world datasets.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of Experimental & Theoretical Artificial Intelligence
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.