Real Life Priority Scheduling Using Neural Networks and Fuzzy Logic

摘要

There are many solutions and algorithms already developed in order to solve many real-life problems and also provide with the most efficient solution. The problems like shortest path for a travelling salesman and similar problems as such have a well-defined background and developed and smart solutions, using the domain of Artificial Intelligence. But in real life most of the decisions taken by any human being highly depend on the emotion quotient and the related factors of the specific task that is to be completed. Thus, taking these factors in to consideration and including the human emotional quotient in the decision-making process, better and practical results could be obtained. Thus, here using fuzzy logic we identify the emotional quotient and further as per the parameters defined for the problem statements, we identify the priority of the jobs to be done.