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An Intuitionistic Fuzzy Soft Software Life Cycle Model
Open Access   Article

An Intuitionistic Fuzzy Soft Software Life Cycle Model
S. J. Kalayathankal1 , J. T. Abraham2 , J. V. Kureethara3
1 Research and Development Centre, Bharathiar University, Coimbatore, India.
2 Department of Computer Science, Bharatha Matha College, Cochin, India.
3 Department of Mathematics and Statistics, Christ University, Bangalore, India.
Correspondence should be addressed to: sunnyjoseph2014@yahoo.com.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 42-48, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.4248

Online published on Jan 31, 2018

Copyright © S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
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Citation

IEEE Style Citation: S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara, “An Intuitionistic Fuzzy Soft Software Life Cycle Model”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.42-48, 2018.

MLA Style Citation: S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara "An Intuitionistic Fuzzy Soft Software Life Cycle Model." International Journal of Computer Sciences and Engineering 6.1 (2018): 42-48.

APA Style Citation: S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara, (2018). An Intuitionistic Fuzzy Soft Software Life Cycle Model. International Journal of Computer Sciences and Engineering, 6(1), 42-48.
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Abstract :
Software engineering is a collaborative effort. It involves processes, people and technology. As a massive action, it needs sound evaluation techniques to ensure its efficacy and appropriateness. No software engineering firm look anything lower than the most efficient model. A proper build up will then decide the prospects including the successful completion of the project. This study intends to develop similarity measures between intuitionistic fuzzy soft sets (IFSSs). The proposed model is applied to five software life cycle models (SLCMs) so as to select the most appropriate one.
Key-Words / Index Term :
Similarity measure, Software life cycle, Fuzzy decision making, Intuitionistic fuzzy soft sets
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