Fuzzy Relation-based Approximation Techniques in Supporting Medical Diagnosis
نویسندگان
چکیده
منابع مشابه
Fuzzy and Rough Techniques in Medical Diagnosis and Medication
Follow up what we will offer in this article about fuzzy and rough techniques in medical diagnosis and medication. You know really that this book is coming as the best seller book today. So, when you are really a good reader or you're fans of the author, it does will be funny if you don't have this book. It means that you have to get this book. For you who are starting to learn about something ...
متن کاملCombining Evolutionary and Fuzzy Techniques in Medical Diagnosis
In this chapter we focus on the Wisconsin breast cancer diagnosis (WBCD) problem, combining two methodologies—fuzzy systems and evolutionary algorithms—to automatically produce diagnostic systems. We present two hybrid approaches: (1) a fuzzy-genetic algorithm, and (2) Fuzzy CoCo, a novel cooperative coevolutionary approach to fuzzy modeling. Both methods produce systems exhibiting high classif...
متن کاملA Hesitant Fuzzy Based Medical Diagnosis Problem
In this paper, we refine the definition of weighted hesitant fuzzy set (WHFS), the concept that allows the membership of a given element is defined in terms of several possible values together with their importance weight, and then introduce some correlation measures for WHFSs. To illustrate the application of proposed correlation measures for WHFSs, we give a practical example in medical diagn...
متن کاملFuzzy Medical Diagnosis
Despite all standardization efforts, medical diagnosis is still considered an art. Much of this status is owed to the fact that medical diagnosis requires a proficiency in coping with uncertainty simply not found in today's computing machinery. Offering a generic and powerful framework for the remodelling of existing systems and the paradigms they are based on, fuzzy set theory promises to be a...
متن کاملFuzzy Methods and Medical Diagnosis
This paper argues that fuzzy representations are appropriate in applications where there are major sources of imprecision and/or uncertainty. Case studies of fuzzy approaches to specific problems of medical diagnosis and classification are described in support of this argument. The case studies are in the areas of categorical consistency, diagnostic monitoring and scoring. The solutions use a v...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Automation, Mobile Robotics & Intelligent Systems
سال: 2017
ISSN: 1897-8649,2080-2145
DOI: 10.14313/jamris_1-2017/3