A continuous interval-valued double hierarchy linguistic GLDS method and its application in performance evaluation of bus companies

The double hierarchy linguistic information is more close to people's habits of expression and it can describe evaluation information more accurately, so it has been extensively utilized in multi-criteria decision-making (MCDM) problems in recent years. First of all, taking the advantage of the completeness of the double hierarchy linguistic information, this paper proposes the continuous interval-valued double hierarchy linguistic term set. It is vital that it not only can express more complex evaluation information but also can aggregate group opinions by continuous terms. At the same time, the gained and lost dominance score (GLDS) method is a outranking method that has emerged in recent years. It takes the perspective of individuals and groups more comprehensively, making the obtained ranking results more convincing and accurate. Therefore, we construct the GLDS method into the continuous interval-valued double hierarchy linguistic environment (named CIVDHL-GLDS method) based on the above considerations. Public transportation is an important part of urban transportation. A comprehensive and objective description of urban surface bus operation level is conductive to a more objective evaluation of urban traffic level. Afterwards, in order to justify its validity of our method, taking the performance evaluation of four subsidiaries of Chengdu Public Transport Group in Sichuan province as a case study. Finally, Some discussions and comparisons are provided to reveal our proposed method has some innovations and dominance.

Automated summary

The paper introduces the application of double hierarchy linguistic information in multi-criteria decision-making, proposes the continuous interval-valued double hierarchy linguistic term set, and applies the GLDS method to it.