Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping

• Main Authors: Ma, Xiuqin, Hongwu, Qin
• Format: Article
• Language: English
• Published: World Academy of Science, Engineering and Technology 2014
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/6673/1/Application_of_a_New_Efficient_Normal_Parameter_Reduction_Algorithm_of_Soft_Sets_in_Online_Shopping.pdf; http://umpir.ump.edu.my/id/eprint/6673/; https://www.waset.org/abstracts/6444

A new efficient normal parameter reduction algorithm of soft set in decision making was proposed. However, up to the present, few documents have focused on real-life applications of this algorithm. Accordingly, we apply a New Efficient Normal Parameter Reduction algorithm into real-life datasets of online shopping, such as Blackberry Mobile Phone Dataset. Experimental results show that this algorithm is not only suitable but feasible for dealing with the online shopping.