CITY LOGISTICS TERMINAL LOCATION SELECTION USING COMBINED FUZZY AHP AND FUZZY TOPSIS ANALYSIS

City logistics terminal (CLT) location selection affects logistics costs, transportation routes, overall city traffic, planning and development of the city. When selecting CLT location, conflicting goals and interests of all stakeholders (residents, shippers and recipients, transport operators and municipal administration) have to be taken into account. A vast number of economical, infrastructural, socio-political, natural and ecological criteria arise from these different goals and interests, and it is necessary to include them in the CLT location selection process. Because of the restricted resources (time, costs, data bases), majority of these criteria are assessed with linguistic statements, which is not suitable for application of the conventional methods of multi-criteria decision making. Considering that, in this paper a fuzzy extensions of the conventional methods of multi-criteria decision making are used for CLT location selection. Fuzzy "analytical hierarchy process" (AHP) is applied to determine the relative weights of the evaluation criteria, and after that fuzzy "technique for order preference by similarity to ideal solution" (TOPSIS) is applied to rank the potential CLT locations. The usability of these methods is tested on the example of locating CLT in the city of Belgrade.