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Abstract
Numerical taxonomy analysis is one of the best method of grading, classifying and comparing countries or different regions according to their development levels and modernity, that it can be used for different grading too. In this paper, the numerical taxonomy method with triangular fuzzy data that has been introduced by Mr. mohammadi and his colleagues in 2010, is expended to the method of numerical taxonomy with trapezoidal fuzzy data. So, if alternatives values, are place in diverse indicators of triangular fuzzy values, the output of expanded method of this paper will be the same as the numerical taxonomy method with triangular fuzzy data that has been introduced by Mr. mohammadi and his colleagues.
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