Interval Type-2 Fuzzy Analytic Network Process for Modelling a 311 Third-party Logistics (3PL) Company

The Fuzzy Analytic Network Process (ANP) is generally used for solving multicriteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among criteria. Linguistic expressions are used for experts’ judgements, and these judgements are imprecise and vague. Hence, incorporating fuzziness with multi-criteria decision making techniques is as advanced approach as fuzzy AHP/ANP. Additionally, type-2 fuzzy sets are modelled with vagueness considering the fuzziness of a membership function. Although fuzzy AHP/ANP methods are widely used for MCDM problems, few studies are available in the literature with type2 fuzzy AHP. Therefore, the type2 fuzzy ANP method is first introduced in this paper with interval type-2 fuzzy sets. The main goal of this paper was to develop a new approach for the interval type-2 fuzzy ANP method for modelling MCDM problems by integrating ANP and interval type-2 fuzzy sets. 3PL company selection problems were modelled with an interval type-2 fuzzy ANP method with BOCR main criteria.