基于灰色關聯TOPSIS法在咖啡服務評價體系中的應用

A synthetic evaluation of Coffee Service based on Grey Correlation and TOPSIS method

咖啡服務的合理性評估是咖啡業決策評估的基礎，也是實現咖啡業綜合治理的重要依據。為提高咖啡服務評估的客觀性與科學性，將灰色系統理論引入理想解法中，構造一種新的貼近度指標，判定品質的等級及優劣排序，避免了理想解法在遇到貼近度相等時不能區分樣本之間優劣性的情況，使得評估更加合理。此外，結合熵權法確定權重因數，實現了權重的主客觀統一，為評估奠定基礎。實例分析表明，該方法能細化咖啡服務品質的等級，使得評價結果更加客觀、合理和全面。在實際應用中，這套處理複雜問題的程式是非常方便容易；根據這種方法得出的結論有利於業者對評估進行綜合管理和運用，證明該方法的簡便性和有效性。

A reasonable power quality evaluation method is not only the foundation to set the price according to coffee service, but also the important basis to manage coffee service comprehensively. In order to evaluate the coffee service quality objectively and scientifically, a novel relative similari -ty degree index is presented to evaluate the grade of coffee service quality and order preference by integrating the grey correlation analysis into the ideal solution (TOPSIS) method. Then it can avoid the case that TOPSIS cannot distinguish samples' disparity due to the equal relative similarity degre -es. Furthermore, to achieve a unification of objectivity and subjectivity of weight, a weight factor is determined by entropy weight method, which is also a foundation for evaluation. A case study demonstrates that the proposed method can elaborate the grade of coffee service and make the coff -ee service assessment being more objective, reasonable and comprehensive. Finally, an example is used to illustrate the validity and simplicity of the method.