Title of article :
VIKOR-based group decision-making method for software quality assessment
Author/Authors :
Yue ، Z. L. College of Mathematics and Computer Science - Guangdong Ocean University , Yue ، C. Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) - College of Mathematics and Computer Science - Guangdong Ocean University , Peng ، X. H. Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) - College of Mathematics and Computer Science - Guangdong Ocean University , Wu ، W. College of Mathematics and Computer Science - Guangdong Ocean University
From page :
53
To page :
70
Abstract :
Software quality is an important research direction in software engineering domain,  which is a multi- dimen-sional evaluation problem.  The VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) technique is a comprehensive  method for handing the multi-dimensional evaluation problems. The projection is commonly used to measure the closeness between two decision objects in decision science.  However, two research questions are found in this work: (1) There is no specific concrete regret  matrix in current VIKOR technique; (2) The existing projection measures are not  always reasonable in interval-valued intuitionistic fuzzy setting. Two research gaps are filled  systematically in this paper: (1) A specific concrete regret matrix is provided in this extended VIKOR-based group decision-making method; (2) A new normalized projection measure is provided in order to measure the closeness between two decision matrices.  The decision procedures are also provided in this paper. A practical application to  the software quality assessment is introduced.  Some experimental comparisons are provided in order to illustrate the feasibility and practicability of introduced method.
Keywords :
Extended VIKOR method , normalized projection , group decision , making , interval , valued intuitionistic fuzzy number , software quality assessment
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)
Record number :
2740709
Link To Document :
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