Software quality evaluation is a challenging task in software engineering.A new group decision-making evaluation model is presented in this work.The new model is based on the Vlsekriterijumska optimizacija i KOmpromis...Software quality evaluation is a challenging task in software engineering.A new group decision-making evaluation model is presented in this work.The new model is based on the Vlsekriterijumska optimizacija i KOmpromisno Resenje(VIKOR)technique,in which a group regret measurement and a group satisfaction measurement are provided to increase the number of reference criteria in the decision-making process.We choose the median to represent the center of the data.Based on this,an entropy-based weighting method is proposed and used to determine the weights of decision makers.A new normalized projection is explored to measure the closeness between two evaluation matrices in a Pythagorean fuzzy setting.Several experimental analyses demonstrate that the entropy-based weighting method developed in this study is superior to traditional weighting methods.The median-based data center provides support for stable decision outcomes.Four dynamic experiments are reported on in this paper:The first one shows that the decision results remain stable throughout the entire experimental range;the second one demonstrates that the proposed normalized projection measure outperforms traditional projection measure;the third one demonstrates that the newly developed VIKOR method outperforms the traditional VIKOR method;and the last one identifies the optimal range for the three parameters of the proposed comprehensive VIKOR model.展开更多
基金supported by the Science and Technology Development Fund of Macao(Nos.0021/2023/RIA1,0035/2023/ITP1,and 0046/2021/A)the Faculty Research Grant of Macao University of Science and Technology(No.FRG-22-103-FIE)the National Natural Science Foundation of China(Nos.61872167 and 61502205).
文摘Software quality evaluation is a challenging task in software engineering.A new group decision-making evaluation model is presented in this work.The new model is based on the Vlsekriterijumska optimizacija i KOmpromisno Resenje(VIKOR)technique,in which a group regret measurement and a group satisfaction measurement are provided to increase the number of reference criteria in the decision-making process.We choose the median to represent the center of the data.Based on this,an entropy-based weighting method is proposed and used to determine the weights of decision makers.A new normalized projection is explored to measure the closeness between two evaluation matrices in a Pythagorean fuzzy setting.Several experimental analyses demonstrate that the entropy-based weighting method developed in this study is superior to traditional weighting methods.The median-based data center provides support for stable decision outcomes.Four dynamic experiments are reported on in this paper:The first one shows that the decision results remain stable throughout the entire experimental range;the second one demonstrates that the proposed normalized projection measure outperforms traditional projection measure;the third one demonstrates that the newly developed VIKOR method outperforms the traditional VIKOR method;and the last one identifies the optimal range for the three parameters of the proposed comprehensive VIKOR model.
