Instruction Set Design for Elementary Set in Tensilica Xtensa

Many researchers have proposed implementation of Rough Set Theory on hardware level but not all of them have build a hardware level instruction set for it. Rough set algorithms have been showing their importance in fields of knowledge extraction, data mining, decision making, pattern recognition, image processing, etc. In this paper we have used Tensilica Xtensa an extensible processor to have specialized instruction to calculate elementary set and crisp set for single and multiple attribute of 32-bit each object, attribute, and decision. Having a instruction set at hardware level can save time and energy.