Model for evaluating the service quality of elderly institutions with hesitant fuzzy linguistic information

As there being more and more senior citizen in China, large quantities of endowment institutions are flooding into the market. However comparing with the large amount of senior citizen, the amount of endowment institutions are not enough with the uneven quality of service. Although in recent years the endowment institutions have made great progress and developed rapidly, a lot of pension agencies' service quality are still not so satisfying, especially some private pension institutions. Therefore, service quality evaluation of endowment agencies, which is aim at knowing the actual situation of the endowment institutions well, will be helpful for finding out the real problems of the endowment institutions. So that there will be practical significance to improve and enhance the service quality of the endowment institutions. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the service quality of elderly institutions with hesitant fuzzy linguistic information. Then we used the hesitant fuzzy linguistic weighted average (HFLWA) operator to develop a procedure to multiple attribute decision making (MADM) problems. Finally, a practical example for evaluating the service quality of elderly institutions is given to verify the developed approach and to demonstrate its practicality and effectiveness.