Document Type
Article
Abstract
Information techniques have brought us tremendous benefit, whereas people are increasingly depended on lots of information systems. Therefore, how to establish an assessment model to choose a better software quality suitable for end-users is an important issue. This study is to present an algorithm of the group decision makers with crisp or fuzzy weights to tackle the integrated software quality for evaluating user satisfaction using fuzzy set theory, where the grades of quality and the grade of importance of quality items are assessed by linguistic values represented by triangular fuzzy numbers. The proposed algorithm is more flexible and useful than the ones that have presented before, since the weights against decision makers are considered.
Recommended Citation
Lee, Shu-Yen; Lee, Tsung-Yen; Fey, Yeh-Jui; and Lee, Huey-Ming, "Group Decision Making for a Fuzzy Software Quality Assessment Model to Evaluate User Satisfaction" (2002). ICEB 2002 Proceedings (Taipei, Taiwan). 38.
https://aisel.aisnet.org/iceb2002/38