Compromise ratio method for multi-person multi-attribute decision making under intutionistic fuzzy environment

Author:
1A. Nagoor Gani , 2N. Sritharan and 3 C. Arun kumar
Affiliation:

P.G. & Research Depatment of Mathematics, Jamal Mohamed College Trichy Tamil Nadu India

1Email:-ganijmc@yahoo.co.in

Keyword:
Intuitionistic fuzzy decision matrix, Compromise Ratio Method, IFPIS, IFNIS.
Issue Date:
December 2011
Abstract:

 Intuitionistic fuzzy numbers each of which is characterized by the degree of membership and the degree of non-membership of an element are a very useful means to depict the decision information in the process of decision making. In this article, by compromise ratio method, we investigate the group decision making problems in which all the information provided by the decision makers is expressed as intuitionistic fuzzy decision matrices where each of the elements is characterized by intuitionistic fuzzy number, and the information about attribute weights are known. The compromise ratio method for intuitionistic fuzzy multi-person multi-attribute decision making has been considered here by taking the ranking index based on the concept that the chosen alternative should be as close as possible to the positive ideal solution and as far away as possible from the negative ideal solution simultaneously. The ranking method is used to find the best alternative. The compromise ratio method for intuitionistic fuzzy environment is proposed. Finally the illustrated example is given. 
 

Pages:
675-686
ISSN:
2319-8044 (Online) - 2231-346X (Print)
Source:
DOI:
jusps-A
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Copy the following to cite this article:

1A. Nagoor Gani , 2N. Sritharan and 3 C. Arun kumar , "Compromise ratio method for multi-person multi-attribute decision making under intutionistic fuzzy environment ", Journal of Ultra Scientist of Physical Sciences, Volume 23, Issue 3, Page Number 675-686, 2016

Copy the following to cite this URL:

1A. Nagoor Gani , 2N. Sritharan and 3 C. Arun kumar , "Compromise ratio method for multi-person multi-attribute decision making under intutionistic fuzzy environment ", Journal of Ultra Scientist of Physical Sciences, Volume 23, Issue 3, Page Number 675-686, 2016

Available from: https://www.ultrascientist.org/paper/728/

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