Defuzzification is a problem of optimal selection of an element from a fuzz
y set. Recently, we were able to show how neighboring elements can influenc
e and contribute to make a better selection. In this paper we propose a met
hod of defuzzification that uses the interactions among neighboring element
s and the selective transformation. This defuzzification procedure is model
ed on the concepts of evolutionary biology.