A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality

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 compr...

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Main Authors: Jiqiang Chen, Litao Ma, Chao Wang, Hong Zhang, Jie Wan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/145285
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author Jiqiang Chen
Litao Ma
Chao Wang
Hong Zhang
Jie Wan
author_facet Jiqiang Chen
Litao Ma
Chao Wang
Hong Zhang
Jie Wan
author_sort Jiqiang Chen
collection DOAJ
description 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.
format Article
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-ca6bb8dd8abe4e818fd36b33d2d3b9182025-02-03T00:59:21ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/145285145285A New Uncertainty Evaluation Method and Its Application in Evaluating Software QualityJiqiang Chen0Litao Ma1Chao Wang2Hong Zhang3Jie Wan4School of Science, Hebei University of Engineering, Handan 056038, ChinaSchool of Science, Hebei University of Engineering, Handan 056038, ChinaSchool of Economics and Management, Hebei University of Engineering, Handan 056038, ChinaSchool of Science, Hebei University of Engineering, Handan 056038, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaUncertainty 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.http://dx.doi.org/10.1155/2014/145285
spellingShingle Jiqiang Chen
Litao Ma
Chao Wang
Hong Zhang
Jie Wan
A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
Journal of Applied Mathematics
title A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
title_full A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
title_fullStr A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
title_full_unstemmed A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
title_short A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality
title_sort new uncertainty evaluation method and its application in evaluating software quality
url http://dx.doi.org/10.1155/2014/145285
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