Intelligence quotient IQ is a number claiming to measure the intelligence of a human been. This number is established based on psychometric testing. In use in the English-speaking world, there is a variety of individually administered IQ tests, having different degree of difficulty. In this paper, we propose a computational method of interpretation of IQ numbers taking into account on the ‘exigency’, of the person who make the interpretation. For this purpose, to different interpretations, having different ‘exigency degree’, different fuzzy sets are associated. This attachment makes the interpretation of IQ tests (Which claims to measure the natural world ‘intelligence’) computational comparable. Computations are presented and significant differences are revealed for example concerning computational identification of group of persons having intelligence in a given range. Understanding of fuzzy logic concepts, of operations with fuzzy sets and understanding of fuzzy logic operators are presented in this context.