Effectiveness evaluations of optical color fuzzy computing

Abstract

This chapter describes the special artificial intelligence technique for increasing efficiency of fuzzy information processing. The approach proposed by the authors consists of representing input fuzzy information as color information quanta with the ability to carry out logical operations with them based on the transformation of light radiation. It is shown that this approach provides obvious advantages of increasing the speed of logical calculations due to direct processing (without digitalization) of large fuzzy input data. The spaces of change in input fuzzy data during their binary processing have been studied and a comparative analysis with the architecture of optical computing has been carried out. A predictive assessment of the proposed designs of optical architecture elements (coloroids) in terms of energy consumption during the calculation process is given and a positive conclusion is made regarding the satisfaction of accepted requirements for energy efficiency. Directions for further development of optical color computing are also determined.