Integrated Framework of Optimization Technique and Information Theory Measures for Modeling Neutrosophic Variables

Abstract

Uncertainty and indeterminacy are two major problems in data analysis these days. Neutrosophy is a generalization of the fuzzy theory. Neutrosophic system is based on indeterminism and falsity of concepts in addition to truth degrees. Any neutrosophy variable or concept is defined by membership, indeterminacy and non-membership functions. Finding efficient and accurate definition for neutrosophic variables is a challenging process. This paper presents a framework of Ant Colony Optimization and entropy theory to define a neutrosophic variable from concrete data.

Keywords

• Neutrosophic set
• Ant Colony Optimization
• Information Theory Measures
• Entropy function