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

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 o...

Full description

Bibliographic Details
Main Authors: Ma, Xiuqin, Hongwu, Qin
Format: Article
Language:English
Published: World Academy of Science, Engineering and Technology 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6673/
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
_version_ 1848817829375115264
author Ma, Xiuqin
Hongwu, Qin
author_facet Ma, Xiuqin
Hongwu, Qin
author_sort Ma, Xiuqin
building UMP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T01:27:59Z
format Article
id ump-6673
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:27:59Z
publishDate 2014
publisher World Academy of Science, Engineering and Technology
recordtype eprints
repository_type Digital Repository
spelling ump-66732018-05-18T02:56:23Z http://umpir.ump.edu.my/id/eprint/6673/ Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping Ma, Xiuqin Hongwu, Qin QA76 Computer software 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. World Academy of Science, Engineering and Technology 2014 Article PeerReviewed application/pdf en 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 Ma, Xiuqin and Hongwu, Qin (2014) Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping. International Journal of Computer, Information, Systems and Control Engineering, 8 (7). pp. 1071-1073. (Published) https://www.waset.org/abstracts/6444
spellingShingle QA76 Computer software
Ma, Xiuqin
Hongwu, Qin
Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
title Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
title_full Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
title_fullStr Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
title_full_unstemmed Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
title_short Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
title_sort application of a new efficient normal parameter reduction algorithm of soft sets in online shopping
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/6673/
http://umpir.ump.edu.my/id/eprint/6673/
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