期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2241
页码：426-431
出版社：Newswood and International Association of Engineers
摘要：The analysis of medical data is frequently
characterized with uncertainties which tend to attract complexity.
Therefore in this paper, an Interval Type-2 fuzzy set model: Hao
and Mendel Approach (HMA) is proposed to fuzzify breast cancer
data in order to handle quantitative attribute sharp boundary
problem and resolve inter and intra uncertainties. The HMA
comprises of the data and the fuzzy part to create interval type-2
fuzzy values. The data part involves data preprocessing of the
experts’ intervals and the fuzzy set part establishes the structure of
the FOU. The type reduction of the aggregated FOU is achieved by
computing the centroid (measure of uncertainty) of the Fuzzy Set
using the Enhanced Kernik-Mendel (EKM) approach. The
defuzzification of the outcome which is an interval Type-2 Fuzzy
set is achieved by computing the average of the interval’s two
endpoints; this captures and reflects the aggregate uncertainty of all
the medical experts for breast cancer analysis. This will enhance
interpretability of discrete intervals in medical dataset, providing a
smooth transition from a fuzzy set to another in order to handle the
sharp boundary interval problem and cater for inter and intra
uncertainty in data interval value as the same word has diverse
connotations to different people.
关键词：Breast Cancer; Interval Type;2 Fuzzy Set; Hao
and Mendel Approach (HMA); Medical dataset;
