17A Comprehensive Review and Analysis of the Plethora of Branches of Medical Science and Bioinformatics Based on Fuzzy Logic
Partha Sarker1 and Siddhartha Roy2*
1Department of Computer Science, The University of Burdwan, West Bengal, India
2Department of Computer Science, The Heritage College (Affiliated to University of Calcutta), Kolkata, India
Abstract
This chapter represents comprehensive and analytical views of the latest research work on bioinformatics and various branches of medical science using fuzzy set theory. Fuzzy set theory is felicitous for developing based on knowledge systems in various fields of medicine for example drug discovery, finding diseases, the best way of medical treatments, and obtaining real-time information based on the data provided by the patients. It is very difficult to achieve efficient and effective medical work without expert system-based fuzzy logic (ESFL). This chapter reviews the application of the ESFL in medical sciences in general and will consider the ways of in-depth analysis of the applied fuzzy logic and implementation process in those fields.
Keywords: ESFL, disease diagnosis, uncertainty, fuzzy mathematics, bioinformatics, drug discovery, medical science
17.1 Introduction
In fuzzy mathematics, the fuzzy concept is a multi-valued formed with truth values between 0 and 1 both inclusive. In 1956 at the University of Berkeley, California, Professor Lotfi Ahmad Zadeh, in his paper which was presented in a seminar “fuzzy sets” ...
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