Title :
Promotion effect value model based on fuzzy theory and multi-classes support vector machines
Author_Institution :
Inst. of the oil´´s Marketing & Logistic, China Univ. of Pet. (Huadong), Dongying, China
Abstract :
This paper brings forward a new model based on fuzzy theory and multi-classes support vector machines to value the effect of promotion. On the one hand, the fuzzy theory is used to reduce the subjective effect of value experts. On the other hand, The multi-classes support vector machines (SVM) was used to classify the value of promotion effect accurately. The new model can not only improve the objectivity of the value data but also improve the Accuracy, so it is proved that the new model is a more feasible method than any other methods ever.
Keywords :
fuzzy set theory; promotion (marketing); support vector machines; fuzzy theory; multiclasses support vector machines; promotion effect value model; Artificial neural networks; Channel hot electron injection; Educational institutions; Electronic mail; Fuel economy; Logistics; Marketing management; Petroleum; Support vector machine classification; Support vector machines; fuzzy theory; model; multi-classes support vector machines; value of promotion effect;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478242
