Understanding Foregroung Factors in creating Dry Ports in Iran by Hybrid approach of GRA, MCDM and Interval-Valued Triangular Fuzzy Numbers

Dry port is a potential solution for better inland seaport capabilities access. Surely, success in implementation of dry port related to investigate and define impediments and factors to a close advanced intermodal terminals. In order to find the way of establishing dry port in Iran, interviews and literature review have been carried and eight groups of factors was assessed. Identifying of the priority of these factors is the main purpose of this research. This way, Multiple Criteria Decision Making (MCDM) is the process of ranking the feasible alternatives and selecting the best one by considering multiple criteria. Owing to the complexity, fuzziness and uncertainties of the objective things, the criterion values often take the form of linguistic variables, which can be expressed in interval-valued triangular fuzzy numbers. The purpose of this paper is to develop an extended Grey Relational Analysis (GRA) method for solving MCDM problems with interval-valued triangular fuzzy numbers and unknown information on criterion weights. As a result, by using this method, infrastructure and structure were recognized as the most important and display and process as the least important factor on implementing a dry port project.