Online ISSN: 2515-8260

Keywords : Fuzzy Logic Systems


TECHNOLOGY PERCEPTIVE OF INTELLIGENT MACHINE LEARNING DATA ANALYTICS METHOD USING FUZZY LOGIC SYSTEMS

Dr.Syed Khasim; Dr.T. Thulasimani; Bottu Gurunadha Rao; Dr.S.V. Sudha; M P Rajakumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 3241-3249


The instinct of human beings is very complex. The understanding of this instinct needs a strong
dimensional analysis of the knowledge of discourse. The computer systems are now trained to realize
how things operate in a real-time environment for intelligent analysis. This effort although very
progressive has a restriction. There is an intelligence gap which makes human one step above the
machine. The fuzzy logic system can be employed to make a machine understand this intelligence gap
in a better way. In other words, fuzzy logic is a computational Intelligence technique that makes a
computer understand and think the way humans do. The fuzzy logic system is now attracting
scientists and engineers around the world since by integrating its abilities with soft computing
techniques like neuro and chaos computing, genetic algorithm, probability reasoning, and immune
networks, it can handle the problems that had not been solved before. Not only has the fuzzy system
significantly enhanced knowledge-based or expert system technology, but it has also primarily
changed the granularity of intelligence. For example, with the help of the fuzzy logic system,
industrialists of home appliances are today embedding intelligence in specific productsThe aim of this
study is two folds: first, to understand the fuzzy logic system for effective decision making and
second, to demonstrate the presence of this intelligence gap through real-time examples. The
examples are selected cautiously to illustrate and demonstrate the applications of the fuzzy logic
system for every reader.