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Multidirectional Product Support System for Decision Making in Textile Industry using Collaborative Filtering Methods
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 79 - Number 7 |
| Year of Publication: 2013 |
| Authors: A. Senthil Kumar, V. Murali Bhaskaran |
10.5120/13754-1591
|
A. Senthil Kumar, V. Murali Bhaskaran . Multidirectional Product Support System for Decision Making in Textile Industry using Collaborative Filtering Methods. International Journal of Computer Applications. 79, 7 ( October 2013), 19-22. DOI=10.5120/13754-1591
Abstract
In the information technology ground people are using various tools and software for their official use and personal reasons. Nowadays people are worrying to choose data accessing and extraction tools and at the time of buying and selling their products and in addition worry about various quality factors such as price, durability, color, size, and availability of the product. The main purpose of the research study is to find solutions to the unsolved existing problems. The proposed algorithm is Multidirectional Rank Prediction (MDRP) decision making algorithm in order to take an effective strategic decision at all the levels of data extraction, used a real time textile dataset and analyzed the results. Finally the results were obtained and compared with the existing measurement methods such as PCC, SLCF, and VSS. The result accuracy is higher than the existing rank prediction methods.
References
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