Vassia Atanassova: Text replacement - ""Notes on IFS", Volume" to ""Notes on Intuitionistic Fuzzy Sets", Volume"

2024-08-28T16:00:36Z

Text replacement - ""Notes on IFS", Volume" to ""Notes on Intuitionistic Fuzzy Sets", Volume"

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	\| issue = [[Notes on Intuitionistic Fuzzy Sets/17/1\|"Notes on ~~IFS~~", Volume 17 (2010) Number 1]], pages 5—22		\| issue = [[Notes on Intuitionistic Fuzzy Sets/17/1\|"Notes on Intuitionistic Fuzzy Sets", Volume 17 (2010) Number 1]], pages 5—22
	\| file = NIFS-17-1-05-22.pdf		\| file = NIFS-17-1-05-22.pdf
	\| format = PDF		\| format = PDF

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2011-05-01T13:00:45Z

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[[Category:Publications on intuitionistic fuzzy sets|{{PAGENAME}}]]
[[Category:Publications in Notes on IFS|{{PAGENAME}}]]
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{{issue/title
| title = Modified ranking of intuitionistic fuzzy numbers
| shortcut = nifs/17/1/5-22
}}
{{issue/author
| author = V. Lakshmana Gomathi Nayagam
| institution = Department of Mathematics, National Institute of Technology
| address = Thiruchirappalli, Tamil Nadu, India
| email-before-at = venkateshwari.gandhi
| email-after-at = gmail.com
}}
{{issue/author
| author = Venkateshwari G.
| institution = Department of Mathematics, Sacs MAVMM Engineering College
| address = Madurai, Tamil Nadu, India
| email-before-at =
| email-after-at =
}}
{{issue/author
| author = Geetha Sivaraman
| institution = Department of Mathematics, Periyar Maniammai University
| address = Thanjavur, Tamil Nadu, India
| email-before-at =
| email-after-at =
}}
{{issue/data
| conference =
| issue = [[Notes on Intuitionistic Fuzzy Sets/17/1|"Notes on IFS", Volume 17 (2010) Number 1]], pages 5—22
| file = NIFS-17-1-05-22.pdf
| format = PDF
| size = 240
| abstract =
The notion of fuzzy subsets was introduced by Zadeh [19] and it was generalised to [[intuitionistic fuzzy subsets]] by Atanassov [1]. After the invention of intuitionistic fuzzy subsets, many real life problems are studied accurately. The ranking of intuitionistic number plays a main role in modeling many real life problems involving intuitionistic fuzzy decision making, intuitionistic fuzzy clustering. In this paper, a new method of [[intuitionistic fuzzy]] scoring to intuitionistic fuzzy number has been introduced and studied. The significance of the proposed intuitionistic fuzzy scoring method has been discussed. The aim of this paper is to introduce a new technique for clustering based on intuitionistic fuzzy number. The proposed scoring method has been applied to clustering problem where the data collected is in terms of intuitionistic fuzzy linguistic term which is converted into intuitionistic fuzzy number. The [[intuitionistic fuzzy number]] is converted to intuitionistic fuzzy scoring using the defined scoring method. A distance measure has been applied to intuitionistic fuzzy score and the similarity measure can be calculated with the help of obtained distance measure. Now we find that the association matrix is tolerance relation. By using the algorithm, the tolerance relation is converted to fuzzy equivalence relation. By fixing alpha cut, the data are clustered in to different groups. The new intuitionistic fuzzy scoring method has wide application in various fields.

| keywords =
| references =
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}}

Issue:Modified ranking of intuitionistic fuzzy numbers - Revision history

Vassia Atanassova: Text replacement - ""Notes on IFS", Volume" to ""Notes on Intuitionistic Fuzzy Sets", Volume"

Vassia Atanassova: New page: {{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title...