Interval Type Ⅱ Fuzzy Behavior Decision Method and Its Application in Business Intelligence Recommendation
The interval type Ⅱ fuzzy behavior decision method based on the improved TOPSIS method and the improved X-EIASC type reduction algorithm was constructed,and the mobile phone brand recommendation system of e-commerce platform was built to evaluate the effectiveness of this method.The results show that the recommended TOP3 brands for various consumer groups are almost exactly consistent with the logical reasoning scheme before the calculation,and the C value of the rec-ommended TOP3 brands is mostly greater than 0.5.The example results show that the improved inter-val type Ⅱ fuzzy behavior decision method has certain application value in the field of business intelli-gence recommendation.
interval type Ⅱ fuzzy systemEIASCTOPSISrecommendation systemdecision meth-od
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