Tuesday, October 29, 2019
Fuzzy systems for diabetes - A literature review ( this specific area) Article
Fuzzy systems for diabetes - A literature review ( this specific area) - Article Example The use of fuzzy logic for instance in the field of medicine and bio engineering has proved to be extremely significant as a vital decision making tool. Fuzzy set and fuzzy logic have garnered considerable acceptance in the field of medicine due to its ability to interpret the vast information regarding medical findings and help in diagnosing diseases effectively through use of integrated approach comprising of a combination of eastern as well as western medicine. It affords the medical experts an opportunity to monitor the patient related data in real time, thus drastically enhancing the quality of patient care (Phuong and Kreinovich, 2001). Fuzzy logic and applications have been in use in the field of medicine since the early eighteenth century. Ever since its introduction it has been largely used for computer assisted diagnostics and for intelligent patient monitoring. As the data regarding patients and other aspects of medicine continues to expand the use of computer assisted systems such as fuzzy logic and fuzzy methods are likely to be in high demand due to its unique capability to control and manage complex tasks effortlessly. Fuzzy logic systems and control applications are likely to provide the much needed assistance in a hospital based setting which is characterized by complex tasks expected to be performed within a set deadline (Castillo et al., 2007). Knowledge base: A knowledge base refers to a repository / database of information which comprises of all the relevant data concepts and policies which are used to define the control rules for building a control system (Deb et al., 2011). Fuzzification scheme: is responsible for mapping the range of input variables and assigning them to appropriate universes of discourses which are represented by linguistic labels. According to Manaf et al., (2011) Fuzzification
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