CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Implementation of Vague-Fuzzification using Vague Sets

by Priya Hooda, Supriya Raheja
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 11
Year of Publication: 2014
Authors: Priya Hooda, Supriya Raheja
10.5120/15251-3887

Priya Hooda, Supriya Raheja . Implementation of Vague-Fuzzification using Vague Sets. International Journal of Computer Applications. 87, 11 ( February 2014), 14-17. DOI=10.5120/15251-3887

@article{ 10.5120/15251-3887,
author = { Priya Hooda, Supriya Raheja },
title = { Implementation of Vague-Fuzzification using Vague Sets },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 11 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number11/15251-3887/ },
doi = { 10.5120/15251-3887 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:38.767566+05:30
%A Priya Hooda
%A Supriya Raheja
%T Implementation of Vague-Fuzzification using Vague Sets
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 11
%P 14-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. Zadeh, L. , A. 1965 Fuzzy Sets, Information and control 8, 338-353.
  2. Konar, Amit 2005 Fuzzy Sets and Relations, Computational Intelligence, Principles, Techniques and Applications, 37- 66.
  3. Gau, Wen-Lung, J. , Buehrer, Daniel 1993 Vague Sets, IEEE Transactions on Systems, Man and Cybernetics, Vol. 23, No. 2, March/April 1993.
  4. Kumar, Amit, Prasad Yadav, Shiv, and Kumar, Surendra Fuzzy System Reliability Using Different Types of Vague Sets, Journal of Applied Sciences and Engineering, Vol. 6, No. 1, 71-83.
  5. M. , Passino, Kevin, Yurkovich, Stephen 1998 Fuzzy Control, Addison Wesley, 56- 57.
  6. Guxin, Li, Hong-xu, Wang, and Chengyi, Zhang 2010 Constructing Vague Environment, Fuzzy Information and Engineering, AICS 78, 711-715.
  7. Liu, Yong, Wang, Guoyin, and Feng, Lin 2008 A General Model for Transforming Vague Sets into Fuzzy Sets, Transactions on Computer Science II, LNCS 5150, 133-144.
  8. Sivanandam, S. , N. , Sumathi, S. , and Deepa, S. , N. 2007 Introduction to Fuzzy Logic Using MATLAB, Springer, 76.
  9. Fuzzy Logic ToolBox, User's Guide, Vol. 2, The MathWorks, 1995-2000.
  10. Hooda, Priya, Raheja, Supriya 2014 A New Approach to Disk Scheduling Using Fuzzy Logic, Journal of Computer and Computation, Vol. 2, 1-5, January 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzification Fuzzy Sets Vague Sets Membership Functions

Powered by PhDFocusTM