International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jul. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 75
Paper Published : 1156
No. of Authors : 2892
  Journal Paper

Paper Title
Feature Based Analysis For Selecting The Best Product

Abstract
As technology advances, it becomes very feasible to have multiple products with multiple brands also with multiple features. Each of which individually might be perceived as useful. However on the contrary, it also becomes difficult for user to select from wide range of features. Inspite of all pros and cons the biggest challenge currently faced by a consumer today is to choose the best product out of multiple brands. In this paper, we present a novel methodology for best product selection. If there are same products with multiple brands like laptop(product) with many company brands (Sony, Dell, HP) then we provide system to select product easily from different models with same features. This Feature weight analysis method provides result with best features. Using this method customer can select best product easily by comparing different models of product. Keywords— Brands, Best Product, Comparing Products, Feature Based Weight Analysis.


Author - Pranali Patil, Rugved Deolekar

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| Published on 2016-01-30
   
   
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