Rough set-based text mining from a large data repository of experts� diagnoses for power systems

• Main Authors: Watada, J., Tan, S.C., Matsumoto, Y., Vasant, P.
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020405285&doi=10.1007%2f978-3-319-59424-8_13&partnerID=40&md5=005bf543c13251000ba83b0cfa00e38d; http://eprints.utp.edu.my/21341/

Usually it is hard to classify the situation where uncertainty of randomness and fuzziness exists simultaneously. This paper presents a rough set approach applying fuzzy random variable and statistical t-test to text-mine a large data repository of experts� diagnoses provided by a Japanese power c...