灰色聚类评估法对冷冻鱼糜品质分析

Research of gray clustering evaluation on frozen surimi quality

摘要: 为对冷冻鱼糜的品质进行综合评定,建立一种冷冻鱼糜品质的灰色聚类评估方法。以专业评价为基础,采用层次分析法确定指标权重,建立白化权函数及聚类权系数矩阵,并判断各冷冻鱼糜样品所属的灰类。结果表明,所评的冷冻鱼糜品质的聚类结果分别为:样品C₁、C₃、C₄、C₇、C₁₁、C₁₂、C₁₃属于"优"类产品,C₂、C₅、C₆、C₈属于"中"类,而C₉、C₁₀属于"差"类。灰色聚类评估结果与专业评估方法相比较,结果一致。结果表明,构建的冷冻鱼糜品质的灰色聚类评估方法可靠。

Abstract: Gray clustering evaluation model was established to evaluate the comprehensive quality of frozen surimi.Based on the methods of expert scoring,index weight was determined by using analytic hierarchy process,definite weighted functions and clustering weight coefficient matrix were established,grey class the frozen surimi belongs to was determined.The gray clustering results indicated that the frozen samples C_1,C-3,C_4,C_7,C_(11),C_(12),C_(13) belong to the high gray class,the frozen samples C_2,C_5,C_6,C_8 belong to the middle gray class,while samples C_9,C_(10) belong to the low gray class.The results of comparing the methods gray clustering evaluation with the professional assessment were in agreement,which showed that the gray clustering evaluation model established was reliable.