Abstract
In this chapter, we present logarithmic least squares method (LLSM) for priority for incomplete fuzzy reciprocal preference relations. LLSM method is well known for multiplicative preference relation, which was investigated by Saaty and Vargas (1984). Wang and Fan (2007) used the LLSM to derive the weights from complete fuzzy preference relations. In the following, we show that the LLSM can be used to derive the priority for incomplete fuzzy reciprocal preference relations.
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 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.
