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High-speed, accuracy, meticulousness and quick response are notion of thevital necessities for modern digital world. An efficient electronic circuitunswervingly affects the maneuver of the whole system. Different tools arerequired to unravel different types of engineering tribulations. Improving theefficiency, accuracy and low power consumption in an electronic circuit isalways been a bottle neck problem. So the need of circuit miniaturization isalways there. It saves a lot of time and power that is wasted in switching ofgates, the wiring-crises is reduced, cross-sectional area of chip is reduced,the number of transistors that can implemented in chip is multiplied manyfolds. Therefore to trounce with this problem we have proposed an Artificialintelligence (AI) based approach that make use of Rough Set Theory for itsimplementation. Theory of rough set has been proposed by Z Pawlak in the year1982. Rough set theory is a new mathematical tool which deals with uncertaintyand vagueness. Decisions can be generated using rough set theory by reducingthe unwanted and superfluous data. We have condensed the number of gateswithout upsetting the productivity of the given circuit. This paper proposes anapproach with the help of rough set theory which basically lessens the numberof gates in the circuit, based on decision rules.

Improving circuit miniaturization and its efficiency using Rough Set Theory