Journal of Northeastern University ›› 2008, Vol. 29 ›› Issue (9): 1362-1365.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Study on the assessment level of experts based on ideal point of linguistic assessment matrices

Chen, Xia (1); Ma, Li-Hong (2); Chen, Yan (1)   

  1. (1) School of Business Administration, Northeastern University, Shenyang 110004, China; (2) Shenyang Institute of Aeronautical Engineering, Shenyang 110034, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-09-15 Published:2013-06-22
  • Contact: Chen, X.
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Abstract: With respect to the problem of assessing level of experts based on the linguistic assessment matrices inform of preference information, an analytic method is proposed to define the linguistic assessment matrices with their natures revealed. Then, by defining the deviation distance matrices between individual and grouped experts' assessment decision matrices and positive/negative ideal points of alternative set, an analytic method is given to assessment level of experts based on TOPSIS (technique for order preference by similarity to ideal solution). A numerical example is given to illustrate the feasibility of the proposed approach which will results in more reliable and credible decision-making and can be taken as an alternative way to assess expert level.

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