Abstract
Enterprise resource planning (ERP) system selection involves multiple evaluation attributes with interaction. It can be attributed to a type of interactive multi-attribute group decision making (MAGDM). Linguistic hesitant fuzzy sets (LHFSs) are powerful tools to represent the uncertainty, hesitancy, and inconsistency of decision makers’ (DMs’) preference. This article proposes two new methods for interactive MAGDM with LHFSs based on comprehensive cloud (CC) power geometric (PG) aggregation operators. First, the CC of LHFS is defined and a distance measure between two CCs is offered. Considering the interaction among the aggregated LHFSs, we develop some CC PG aggregation operators of LHFSs. An uncertainty degree of LHFS is defined. Then, an approach is developed to derive the weights of DMs. An approach is proposed to derive the comprehensive attribute weights. Thus two new methods are presented for interactive MAGDM with LHFSs. An ERP selection example is provided to validate the proposed methods.
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 callDisclaimer: 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.
