Comparative Study of Fuzzy Classification Methods on Breast Cancer Data: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

24 December 2023

  • curprev 15:5515:55, 24 December 2023SatoshiNakamoto talk contribs 1,155 bytes +1,155 Created page with "Title: Comparative Study of Fuzzy Classification Methods on Breast Cancer Data Abstract: This research study investigates the performance of four fuzzy rule generation methods on Wisconsin breast cancer data. The methods generate fuzzy if-then rules using different approaches, such as mean and standard deviation, histogram of attributes values, certainty of each attribute into homogeneous fuzzy sets, and overlapping areas partitioning. The study aims to determine the mo..."