A new integrated HFL-MAIRCA method and application in cargo company selection

With the technological developments, competition conditions have become very important and difficult in many sectors. Cargo transportation is part of the logistic sectors. Both service quality and customer satisfaction are very important for companies which provide cargo transportation services. This study aims to evaluate cargo companies via DMs (customers) preferences in Erzurum. Evaluating cargo companies is difficult task for decision makers because of the increase complexity, demands. Evaluating cargo companies is the multi-criteria decision making (MCDM) problem and DMs often use uncertain linguistic terms to express their assessments because DMs hesitate among different linguistic terms to provide their preferences. In this study, a new integrated HFL-MAIRCA (Multi-criteria Hesitant Fuzzy Linguistic Term Set and Multi Attribute Ideal-Real Comparative Analysis) method is proposed for evaluating and selecting the best cargo company. This method can increase the flexibility of representing linguistic information and it can reflect in determining the gap between the ideal and empirical ponders. From this point of view, alternatives, criteria and DMs are defined and the proposed method is applied selection of the best cargo company. According to the results obtained, the most important criterion was determined as assurance given to the cargo.

کلیدواژه ها:

MAIRCA ، HFLTS ، Cargo company ، MCDM