Improving Circuit Miniaturization and Its Efficiency Using Rough Set Theory

Abstract

High-speed, accuracy, meticulousness and quick responses are the notion of the vital necessities for modern digital world. An efficient electronic circuit unswervingly affects the maneuver of the whole system. Different tools are required to unravel different types of engineering tribulations. Improving the efficiency, accuracy and low power consumption in an electronic circuit is always been a bottle neck problem. So the need of circuit miniaturization is always there. It saves a lot of time and power while switching of gates and reduces the wiring-crises. Therefore to trounce with this problem we have proposed an artificial intelligence (AI) based approach that makes use of Rough Set Theory for its implementation. Theory of rough set has been proposed by Z Pawlak in the year 1982. Rough set theory is a new mathematical tool which deals with uncertainty and vagueness. Decisions can be generated using rough set theory by reducing the unwanted and superfluous data. We have condensed the number of gates without upsetting the productivity of the given circuit. This paper proposes an approach using artificial intelligence technique with the help of rough set theory which basically lessens the number of gates in the circuit, based on decision rules.