Journal Name:
- Uluslararası Alanya İşletme Fakültesi Dergisi
| Author Name | University of Author |
|---|---|
Abstract (2. Language):
Finding most similar commodities with respect to selected one is a core
subject in today’s competitive business environment. This paper introduces a
new method and a new algorithm which can be used by commercial web sites
or trading centres. The algorithm is based on finding and listing most similar
goods/services related to customer preferences. In other words, when the
user selects an item, this algorithm sorts other items depending on each
item’s similarity to the selected main item and lists them to the customer.
The aims of the algorithm are to make customer selection easier, to increase
his/her willingness to buy and to give a sense of satisfaction of sufficient
searching before the buying decision. Our algorithm consists of 4 main steps.
Determining item categories, finding item property set for each category,
Finding priority weights of the properties by using Analytical Hierarchy
Process, Defining fuzzy variables and calculating membership function values,
using the values found on previous steps, calculating the similarity score of
each alternative item with respect to the main item. An empirical study was
done on printers category. Among the alternatives, the algorithm found the
most similar item with %96,1 similarity score
Bookmark/Search this post with
FULL TEXT (PDF):
- 1
99-116