摘要
本研究是一种运用模糊数学方法来预测商品喜爱度的实验性探索。 从实验一中取得被试对一种商品的单维评价[R′_(ji)]和综合评价[B_j],然后根据导出权数集[A_i]。 从实验二中取得被试对另一种同类商品的单维评价[R″_(ji)],然后与[A_i]加权,就预测出第二种同类商品的综合喜爱度[B_j]。 经验证,此种预测是可行的。并且它比其它预测方法更准确,更简便。
The present study is an experimental exploration of the feasibilityof applying fuzzy mathematics forecasting the degree of preference forvarious commodities. The subjects' one-dimensional evaluation [R'_(ji)] and comprehensiveevaluation [B_j] for a certain commodity was obtained from experimentI. Then, the weight set [Ai] was derived from B_j=?[Ai·R_(ji)]. The subjects' one-dimensional evaluation[R'_(ji)] for another commodityof the same kind was obtained from experiment Ⅱ. Then, the weight ofone-dimensional evaluation [R'_(ji)] with [Ai] was obtained so that thesubjects' comprehensive degree of preference[Bj] for the second commo-dity could be forecasted. The experimentation proved that the procedure was feasible andmore precise and simpler than other methods.
出处
《心理学报》
1986年第1期43-49,共7页
Acta Psychologica Sinica
