Abstract

AbstractThis paper proposes a new family of intuitionistic fuzzy information aggregation operators for multiattribute decision making. Such aggregate operators provide an excellent complement to the existing ones. In this study, comparison with existing intuitionistic fuzzy aggregation operators is presented in detail. Properties and special cases of the proposed operators are investigated. Finally, we introduce an approach to intuitionistic fuzzy multiattribute decision making. An example of the recruitment of intern candidates is illustrated to show the feasibility and superiority of the proposed method.

Full Text
Paper version not known

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 call

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.