[目的/意義]圖書館微信平臺作為新興媒體,尚處于初期發展階段,仍存在不足之處。通過對高等學校圖書館微信用戶滿意度評價,能夠提高微信服務質量,提升微信用戶體驗,更好地迎合高校用戶個性化需求。[方法/過程]文章在原有高校圖書館微信用戶滿意度評價指標體系的基礎上,收集用戶真實反饋,并將其轉化為語言分布評價信息。依據獲得的評價信息,利用離差最大化方法確定指標權重,為后續方法奠定基礎。[結果/結論]鑒于灰色關聯雙向投影方法在處理多屬性決策問題方面的優點,將灰色關聯雙向投影方法擴展到語言分布評價信息中,提出語言分布灰色關聯雙向投影方法,并將此方法用于山東省高校圖書館微信用戶滿意度實例評價中。此外,為了驗證文章所提方法在實際應用中的合理性和有效性,選取已有的DAWA算子和DW-TODIM方法作為對比方法進行比較。

[Purpose/significance] As a new media,the library WeChat platforms is still in its initial stage,and there are some shortcomings.By evaluation of university library WeChat user satisfaction,the quality of WeChat service and can be improved,the experience of WeChat user can be enhanced and the personalized needs of WeChat user can be better meet.[Method/process] on the basis of the original WeChat user satisfaction index system,this paper collect the evaluation from WeChat user and transform it into linguistic distribution assessment.According to the obtained evaluation,the weights of multiple attributes can be calculated by the maximum deviation method.[Result/conclusion] In view of the advantages of grey relational bidirectional projection method in dealing with multi-attribute decision-making problems,this paper extends the grey relational bidirectional projection method to the linguistic distribution assessment,puts forward the linguistic distribution grey relational bidirectional projection method,and applies this method to the evaluation of WeChat user satisfaction of University Libraries in Shandong Province.In addition,in order to verify the rationality and validity of the proposed method in practical application,the existing DAWA operators and DW-TODIM methods are selected as comparison methods to compare with the proposed method.