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Implementation of Vague-Fuzzification using Vague Sets

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 11
Year of Publication: 2014
Priya Hooda
Supriya Raheja

Priya Hooda and Supriya Raheja. Article: Implementation of Vague-Fuzzification using Vague Sets. International Journal of Computer Applications 87(11):14-17, February 2014. Full text available. BibTeX

	author = {Priya Hooda and Supriya Raheja},
	title = {Article: Implementation of Vague-Fuzzification using Vague Sets},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {11},
	pages = {14-17},
	month = {February},
	note = {Full text available}


A mathematical procedure used to convert an element in the universe of discourse into the membership value of the fuzzy set is termed as fuzzification. In this paper we propose a new technique Vague-Fuzzification to implement fuzzification using vague sets. The proposed technique is designed that is using two methods to implement the same. First method includes a positive ordered transforming formula (POTF) that transforms a non-negative single value data to vague data. The second method takes as input the output of first method and converts the vague data to fuzzified membership values. The technique is implemented using MATLAB and the results of two different data sets are summarized in the form of tables.


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