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
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)