Journal of Applied Mathematics
- J. Appl. Math.
- Volume 2014 (2014), Article ID 145285, 9 pages.
A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
Jiqiang Chen, Litao Ma, Chao Wang, Hong Zhang, and Jie Wan
Abstract
Uncertainty theory is a branch of axiomatic mathematics dealing with experts’ belief degree. Considering the uncertainty with experts’ belief degree in the evaluation system and the different roles which different indices play in evaluating the overall goal with a hierarchical structure, a new comprehensive evaluation method is constructed based on uncertainty theory. First, index scores and weights of indices are described by uncertain variables and evaluation grades are described by uncertain sets. Second, weights of indices with respect to the overall goal are introduced. Third, a new uncertainty comprehensive evaluation method is constructed and proved to be a generalization of the weighted average method. Finally, an application is developed in evaluating software quality, which shows the effectiveness of the new method.
Article information
Source
J. Appl. Math., Volume 2014 (2014), Article ID 145285, 9 pages.
Dates
First available in Project Euclid: 2 March 2015
Permanent link to this document
https://projecteuclid.org/euclid.jam/1425305864
Digital Object Identifier
doi:10.1155/2014/145285
Citation
Chen, Jiqiang; Ma, Litao; Wang, Chao; Zhang, Hong; Wan, Jie. A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality. J. Appl. Math. 2014 (2014), Article ID 145285, 9 pages. doi:10.1155/2014/145285. https://projecteuclid.org/euclid.jam/1425305864