A Fuzzy-Measurement Algorithm for Assessing the Impact of Electromagnetic Fields on Health

What is it about?

In this paper, we propose a novel fuzzy-measurement algorithm for the assessment of the impact of electromagnetic fields on human health. The algorithm was developed to unify complex and diverse measuring methodologies, standards and fuzzy logic control into a single entity – a comprehensive methodology for the assessment of the impact of electromagnetic fields on humans. The algorithm will enable multiple criteria automated assessment based on measurement results and the existing electromagnetic field standards, guidelines, and recommendations in order to avoid potential subjectivity and varied approach. We have therefore considered two classes of fuzzy logic systems (type-1 and type-2) and developed a graphic model intended for scenarios where expert opinions differ and where such a difference might significantly affect the assessment. The fuzzy model was developed on the principles of the proposed algorithm and this resulted in a unique procedure for the assessment of all types of electromagnetic fields on human health. Keywords: Measurement of an electromagnetic field, human health, fuzzy measurement algorithm, fuzzy logic systems, type 1, type 2

Featured Image