Digital Mammogram Inferencing System Using Intuitionistic Fuzzy Theory
作者机构：Department of CSERajalakshmi Engineering CollegeChennaiIndia Karpagam College of EngineeringCoimbatoreIndia
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2022年第41卷第6期
页 面：1099-1115页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Mammogram intuitionistic fuzzy evidential reasoning trapezoidal fuzzy malignant benign
摘 要：In the medical field,the detection of breast cancer may be a mysterious *** must deduce a conclusion from a significantly vague knowledge base.A mammogram can offer early diagnosis at a low cost if the breasts satisfactory mammogram images are analyzed.A multi-decision Intuitionistic Fuzzy Evidential Reasoning(IFER)approach is introduced in this paper to deal with imprecise mammogram classification *** proposed IFER approach combines intuitionistic trapezoidal fuzzy numbers and inclusion measures to improve representation and reasoning *** results of the proposed technique are approved through *** simulation is created utilizing MATLAB *** screening results are classified and finally grouped into three categories:normal,malignant,and *** results show that this IFER method performs classification with accuracy almost 95%compared to the already existing *** IFER mammography provides high accuracy in providing early diagnosis,and it is a convenient diagnostic tool for physicians.
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