A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
Expert Systems with Applications: An International Journal
Prioritization of organizational capital measurement indicators using fuzzy AHP
International Journal of Approximate Reasoning
Prioritization of human capital measurement indicators using fuzzy AHP
Expert Systems with Applications: An International Journal
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP
Information Sciences: an International Journal
Accurately predicting the success of B2B e-commerce in small and medium enterprises
Expert Systems with Applications: An International Journal
Evaluation of knowledge management tools using AHP
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Calibrated fuzzy AHP for current bank account selection
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Selecting an appropriate transportation company is an important decision for an effective supply chain. This study attempts to solve transportation company selection problems initially addressed by Kulak and Kahraman in 2005, by adopting two methods. Consistent fuzzy preference relations presented by Herrera-Viedma et al. and fuzzy linguistic preference relations (fuzzy LinPreRa) developed by Wang and Chen in 2008. Analytical results indicate that both methods produce a consistent decision results from only n-1 pairwise comparisons. However, assigning linguistic variables to judgments is simpler and more intuitive than fixed value judgments. Therefore, the fuzzy LinPreRa is more suitable and efficient for providing rankings of transportation companies for making decisions.