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Logical Operations for DSS Components based on Optical Fuzzy Color Computing
Victor Timchenko, Vladik Kreinovich and Yuriy Kondratenko
The article is devoted to developing intelligent computing systems for decision support in various fields of application with a large volume of fuzzy input information. The proposed approach is based on a combination of the advantages of optical color logic architecture, with high performance performing the main logical operations of disjunction, conjunction and negation, and fuzzy digital computing, significantly expanding the functionality of soft computing for the formation of various trajectories of decision output. Such hybrid computing systems use, among other things, algebraic summation and multiplication operations and form logical operations, for example, when it is necessary to consider the completeness of identical data and their mutual influence. The structure of the computing network and algorithmic procedures for modeling the basic component of the hybrid architecture for decision-making systems are formed. The proposed approach applies to the construction of hierarchically organized multi-level intelligent computing networks in various fields of application with large volumes of fuzzy data.
Keywords: Hybrid fuzzy-color computing, optical logical architecture, fuzzy set, decision support systems