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.