Research on multi-agent comprehensive evaluation model based on attribute coordinate

Guanglin Xu, Song Min, Jiali Feng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Some researchers have made great achievements in both theoretical study and practical applications in comprehensive evaluation models based on an attribute coordinate, but they failed to make breakthroughs in multi-agent evaluation. This paper firstly constructs barycentric coordinate points based on a multi-agent and then attains the psychological curve of multi-agent evaluation using the Lagrange interpolation formula. It further builds up the multi-agent evaluation model of attribute coordinates to achieve superior functionality of multi-agent evaluation.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012
Pages556-562
Number of pages7
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Granular Computing, GrC 2012 - HangZhou, China
Duration: 2012 Aug 112012 Aug 13

Publication series

NameProceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012

Other

Other2012 IEEE International Conference on Granular Computing, GrC 2012
CountryChina
CityHangZhou
Period12/8/1112/8/13

All Science Journal Classification (ASJC) codes

  • Software

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  • Cite this

    Xu, G., Min, S., & Feng, J. (2012). Research on multi-agent comprehensive evaluation model based on attribute coordinate. In Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012 (pp. 556-562). [6468702] (Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012). https://doi.org/10.1109/GrC.2012.6468702