Air pollution assessment using intuitionistic hierarchical fuzzy inference systems

Abstract

The paper presents the basic notions of intuitionistic fuzzy sets and intuitionistic fuzzy inference systems. Further, there is a design of intuitionistic hierarchical fuzzy inference system of Mamdani type for air pollution assessment. The proposed approach is based on the fact that air pollution assessment is rather subjective. Therefore, a generalization of fuzzy logic seems to be suitable for air pollution assessment.