Abstract
In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for evaluating the digital reference service in the library with uncertain linguistic information. We utilize the uncertain linguistic weighted averaging (ULWA) operator and uncertain linguistic hybrid aggregation (ULHA) operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the digital reference service in the library, then rank the ecommerce websites and select the most desirable one(s) by using the formula of the degree of possibility for the comparison between two uncertain linguistic variables. Finally, an illustrative example for evaluating digital reference service in the library is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
