This study here adopts the CFCS (Converting Fuzzy data into
Crisp Scores) defuzzification method for the fuzzy aggregation procedure,
because the CFCS method can give a better crisp value than
the Centroid method. The CFCS method is based on the procedure
of determining the left and right scores by fuzzy min and
fuzzy max, respectively, and the total score is determined as a
weighted average according to the membership functions [42]. Let
˜zk
ij
=
(lk
ij, mk
ij, rk
ij) indicate the fuzzy assessments of evaluator k (k = 1,
2,. . .,p) about the degree to which the criterion i affects the criterion
j. To aggregate the result of these fuzzy assessments, this study
uses the CFCS method which includes five-step algorithms.