TITLE

Model for Evaluating the Software Quality with Intuitionistic Fuzzy Information

AUTHOR(S)
Yangrui Yang; Hongzhi Yu; Ning Ma; Fanhu Bie
PUB. DATE
March 2012
SOURCE
International Journal of Digital Content Technology & its Applic;Mar2012, Vol. 6 Issue 5, p242
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The problem of evaluating the software quality with intuitionistic fuzzy information is the multiple attribute decision making (MADM) problems. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the software quality with intuitionistic fuzzy variables. We utilize the intuitionistic fuzzy correlate average(IFCA) operator to aggregate the intuitionistic fuzzy numbers corresponding to each alternative and get the overall value of the alternatives, then rank the software systems and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example about software quality evaluating is given to verify the developed approach and to demonstrate its practicality and effectiveness.
ACCESSION #
76361806

 

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