International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 109 | Views: 230

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014 | Rating: 6.6 / 10


Building Fuzzy Associative Classifier Using Fuzzy Values

P. Kayal | S. Kannan [4]


Abstract: Association rule mining is a popular and well researched method for discovering interesting relations between variables in large databases. Classification based on association rules is considered to be an effective and beneficial approach. However, mining the domain of quantitative attributes leads to a common existing sharp boundary problem. This can be over-ruled by the use of fuzziness in the variables and the association rule mining. This paper aims at proposing a classification based on fuzzy association rule mining called Fuzzy Associative Classifier (FAC) to predict the level of work-force leadership qualities.


Keywords: Fuzzification, Partitioning, Associative classifier, Fuzzy weight, Skill level


Edition: Volume 3 Issue 7, July 2014,


Pages: 1498 - 1500


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top