文献类型：期刊文献

英文题名：A software trustworthiness evaluation methodology for cloud services with picture fuzzy information

作者：Yue, Chuan[1]

机构：[1]Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjiang 524088, Guangdong, Peoples R China

年份：2024

卷号：152

外文期刊名：APPLIED SOFT COMPUTING

收录：SCI-EXPANDED(收录号：WOS:001154192400001)、、EI(收录号：20240315375228)、Scopus(收录号：2-s2.0-85182019437)、WOS

语种：英文

外文关键词：Entropy-based weight; Extended VIKOR method; Normalization projection; Picture fuzzy number

外文摘要：VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is one of the most commonly used decisionmaking technique. This work provides a software trustworthiness evaluation method based on VIKOR technique in a group decision -making (GDM) environment. Entropy is an important measure that refers to the amount of disorder in a decision support system. To quantify the decision quality of decision maker (DM), a new method for determining DM weights is proposed according to the entropy value of decision matrix, which is provided by that DM. A new normalization -projection measure is developed in order to test the closeness between two evaluation matrices in software trustworthiness evaluation process. The group regret measure in VIKOR-based GDM method is based on two negative reference matrices in this model. A new ranking method with classification is also developed in this work. Aiming at the complex and changeable environment, these new measures and methods are expected to enrich VIKOR techniques and to play a constructive role in group decision support systems. The feasibility and practicability of developed method are verified by some experiments. This study finds that the different methods (models) may have different results in situations where the same decision data are provided by DMs; and this study also finds that the different parameters may have different results in situation where the decision model is same. The practical implications of developed GDM method can apply not only to software trustworthiness evaluation, but also to many other product quality evaluations.