An intuitionism fuzzy analytical network process for parking site selection

The vagueness of multi criteria decision making (MCDM) is commonly handled through fuzzy sets theory, by assigning degree of membership. However, the spatial MCDM (SMCDM) problem encounters ambiguity in assigning the membership function to fuzzy pairwise comparisons, which is referred to as non-specificity. This paper attempts to reach a new method in making the comparison matrices in analytical network process (ANP) approach to consider some aspects of uncertainties and vagueness in the process of SMCDM based on the rule and logic of intuitionistic fuzzy (IF). The case study undertaken in this research includes investigation of criteria used in selecting the public parking lots in a part of Tehran metropolitan area. This paper successfully demonstrates that the proposed method has the ability to include a number of geospatial data and constraints to improve reliability of decision making using the Intuitionistic Fuzzy Analytical Network Process (IF-ANP) in a GIS environment.