AGGREGATION OF OPINIONS FOR SYSTEM
SELECTION USING APPROXIMATIONS OF
FUZZY NUMBERS
D. Dinagar, and K.Jivagan. Applied Mathematics and Sciences: An International Journal (MathSJ), 1 (2):
75 - 89(August 2014)
Abstract
In this article we assume that experts express their view points by way of approximation of Triangular
fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to
aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of
triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A
comparison has been made betweenapproximation of triangular fuzzy systems and the corresponding fuzzy
triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular
fuzzy numbers are also found.
%0 Journal Article
%1 noauthororeditor
%A Dinagar, D. Stephen
%A K.Jivagan,
%D 2014
%J Applied Mathematics and Sciences: An International Journal (MathSJ)
%K Approximations Relative Triangular degree fuzzy numbers of similarity
%N 2
%P 75 - 89
%T AGGREGATION OF OPINIONS FOR SYSTEM
SELECTION USING APPROXIMATIONS OF
FUZZY NUMBERS
%U https://airccse.com/mathsj/papers/1214mathsj06.pdf
%V 1
%X In this article we assume that experts express their view points by way of approximation of Triangular
fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to
aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of
triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A
comparison has been made betweenapproximation of triangular fuzzy systems and the corresponding fuzzy
triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular
fuzzy numbers are also found.
@article{noauthororeditor,
abstract = {In this article we assume that experts express their view points by way of approximation of Triangular
fuzzy numbers. We take the help of fuzzy set theory concept to model the situation and present a method to
aggregate these approximations of triangular fuzzy numbers to obtain an overall approximation of
triangular fuzzy number for each system and then linear ordering done before the best system is chosen. A
comparison has been made betweenapproximation of triangular fuzzy systems and the corresponding fuzzy
triangular numbers systems. The notions like fuzziness and ambiguity for the approximation of triangular
fuzzy numbers are also found. },
added-at = {2021-01-20T04:38:18.000+0100},
author = {Dinagar, D. Stephen and K.Jivagan},
biburl = {https://www.bibsonomy.org/bibtex/22cfcbc915af4b1883b570bd4a49d303d/journalmathsj},
interhash = {0a3b435a95f669938bd8a8479840f66a},
intrahash = {2cfcbc915af4b1883b570bd4a49d303d},
journal = {Applied Mathematics and Sciences: An International Journal (MathSJ)},
keywords = {Approximations Relative Triangular degree fuzzy numbers of similarity},
month = {August},
number = 2,
pages = {75 - 89},
timestamp = {2021-01-20T04:38:18.000+0100},
title = {AGGREGATION OF OPINIONS FOR SYSTEM
SELECTION USING APPROXIMATIONS OF
FUZZY NUMBERS },
url = {https://airccse.com/mathsj/papers/1214mathsj06.pdf},
volume = 1,
year = 2014
}