Finding out Fast Moving and Slow Moving Items using Fuzzy Logic
|International Journal of Computer Science and Engineering|
|© 2019 by SSRG - IJCSE Journal|
|Volume 6 Issue 8|
|Year of Publication : 2019|
|Authors : W. Sarada , DR.P.V.Kumar|
How to Cite?
W. Sarada , DR.P.V.Kumar, "Finding out Fast Moving and Slow Moving Items using Fuzzy Logic," SSRG International Journal of Computer Science and Engineering , vol. 6, no. 8, pp. 13-15, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I8P103
The discovery of fast moving items and slow moving items which have been restricted by the increasing costs as well as expansive number of item sets, to mine a small number of fast moving items with fewer costs and finding a vast length of the fast moving items which can be identified in a very big data sets and which are very useful in various application domains. In this illustrated paper, it is precisely about the key discovery of unique patterns by traditionally using fuzzy logic and accurately assessing their potentiality and the considerable power of one’s attention of naturally attracting as per the practical knowledge of the potential user. The goal is to find out patterns of very crucial and useful associations, have a certainty and concern to the user which in turn helps in lessening the costs, time and space constraints by extracting the persistent items displayed statistically and as well as a pictorial representation through a graph or chart.
Associations, fast moving items, patterns, slow moving items
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