Implementation of Fuzzy Technology in Complicated Medical Diagnostics and Further Decision

Implementation of Fuzzy Technology in Complicated Medical Diagnostics and Further Decision

A. B. Bhattacharya (University of Kalyani, India) and Arkajit Bhattacharya (M. G. M. Medical College and Hospital, India)
Copyright: © 2015 |Pages: 30
DOI: 10.4018/978-1-4666-7240-6.ch004
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Abstract

This chapter presents the importance of fuzzy expert systems in the medical field. Efficient and suitable medical work becomes difficult many times without the knowledge of the rules of logic. The chapter highlights the ways of implementing both classical logic and non-classical approach (e.g. temporal and fuzzy logic) in some adverse areas of medical diagnostics. The implementation of fuzzy expert systems is supported by some examples illustrating how indispensable the cognition of logic and showing how applying logic can effectively improve work in medicine. Fuzzy Expert Systems for diagnosis of urinary incontinence, Parkinson's disease, including neurological signs in domestic animals, as well as its implementation for diagnosis of prostate cancer are elaborately discussed.
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Overview

Classical logic only permits propositions having a value of truth or falsity. The notion of 1+1=2 is absolute, immutable and mathematical truth. However, there exist certain propositions with variable answers, such as asking various people to identify a colour. The notion of truth does not fall by the wayside but rather a means of representing and reasoning over partial knowledge is afforded by aggregating all possible outcomes into a dimensional spectrum.

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