Abstract:
Inter-enterprise collaborations require careful
evaluations of partner enterprises and their attributes.
Evaluation of partners for a project is a multi-criteria
decision making process. The project initiator defines
multiple criteria to be used in the selection of suitable
partners. This study compares three different multicriteria decision making techniques. Analytical
Hierarchy Process (AHP) uses pairwise comparisons of
crisp numerical values to derive weights of importance
of partners. Fuzzy AHP (FAHP) uses pairwise
comparisons of fuzzy values to derive weights of
importance. Reduced Group Fuzzy AHP (RGFAHP)
computes geometric mean of lower and upper bound
fuzzy values to derive weights of importance. Eighty
persons evaluated five companies to do structural
engineering works for a large building. Their evaluation
values were subjected to these algorithms. Total mean
relative weights of partners were 0.9936, 0.9968 and
0.9866 with errors of 0.0064, 0.0032 and 0.0134 with
time complexities of n(n+6), n(n-1)/2 and n(n-1) for
AHP, FAHP and RGFAHP respectively.
AHP is effective when dealing with crisp evaluation
values while FAHP is effective for fuzzy evaluation
values. RGFAHP combines fuzzy approximate
reasoning with conventional AHP, reduces the number
of comparisons when a large number of attributes are
used and deals with imprecise evaluators' judgement.
