The DEA – FUZZY ANP Department Ranking Model Applied in Iran Amirkabir University

Proposed in this study is a hybrid model for supporting the department selectionprocess within Iran Amirkabir University. This research is a two-stage model designed tofully rank the organizational departments where each department has multiple inputs andoutputs. First, the department evaluation problem is formulated by Data EnvelopmentAnalysis (DEA) and separately formulates each pair of units. In the second stage, the pairwiseevaluation matrix generated in the first stage is utilized to fully rank-scale the units viathe Fuzzy Analytical Network Process (FANP). The FANP method adopted here usestriangular fuzzy numbers. ANP equipped with fuzzy logic helps in overcoming theimpreciseness in the preferences. DEA-FANP ranking does not replace the DEAclassification model; rather, it furthers the analysis by providing full ranking in the DEAcontext for all departments, efficient and inefficient.