Some Novel Dynamic Fuzzy Sets Models Applied to the Classification of Outsourced Software Project Risk

Zhen-Hua Zhang; G.-H. Qu; K.-X. Xiao; Y. Hu; Z.-J. Li; X.-X. Chen; J.-H. Xu; C. Ma

doi:10.1007/978-3-319-30874-6_27

Some Novel Dynamic Fuzzy Sets Models Applied to the Classification of Outsourced Software Project Risk

Zhen-Hua Zhang, G.-H. Qu, K.-X. Xiao, Y. Hu, Z.-J. Li, X.-X. Chen, J.-H. Xu, C. Ma

Coventry University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Some novel dynamic fuzzy sets (DFS) models, which are the generalization of fuzzy sets (FS) and the dynamization of interval-valued intuitionistic fuzzy sets (IVIFS), are presented in this paper. First, we propose some weighted DFS models from IVIFS. Second, we introduce the distance formula of DFS. Finally, we apply these DFS models and the distance measures to pattern classification of outsourced software project risk to demonstrate the advantages of these DFS models, and the experimental results show that these DFS models are more effective than the conventional clustering algorithms and IVIFS model in pattern classification.

Original language	English
Title of host publication	International Conference on Oriental Thinking and Fuzzy Logic
Editors	Bing-Yuan Cao, Pei-Zhuang Wang, Zeng-Liang Liu, Yu-Bin Zhong
Place of Publication	Switzerland
Publisher	Springer Verlag
Pages	273-286
Volume	443
ISBN (Print)	978-3-319-30873-9, 978-3-319-30874-6
DOIs	https://doi.org/10.1007/978-3-319-30874-6_27
Publication status	Published - 19 Jun 2016

Bibliographical note

The full text is not available on the repository.

Keywords

Interval-valued intuitionistic fuzzy sets
Dynamic fuzzy sets
Pattern classification
Outsourced software project risk

Access to Document

10.1007/978-3-319-30874-6_27

Cite this

Zhang, Z.-H., Qu, G.-H., Xiao, K.-X., Hu, Y., Li, Z.-J., Chen, X.-X., Xu, J.-H., & Ma, C. (2016). Some Novel Dynamic Fuzzy Sets Models Applied to the Classification of Outsourced Software Project Risk. In B.-Y. Cao, P.-Z. Wang, Z.-L. Liu, & Y.-B. Zhong (Eds.), International Conference on Oriental Thinking and Fuzzy Logic (Vol. 443, pp. 273-286). Springer Verlag. https://doi.org/10.1007/978-3-319-30874-6_27

Some Novel Dynamic Fuzzy Sets Models Applied to the Classification of Outsourced Software Project Risk. / Zhang, Zhen-Hua; Qu, G.-H.; Xiao, K.-X. et al.
International Conference on Oriental Thinking and Fuzzy Logic. ed. / Bing-Yuan Cao; Pei-Zhuang Wang; Zeng-Liang Liu; Yu-Bin Zhong. Vol. 443 Switzerland: Springer Verlag, 2016. p. 273-286.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Zhang, Z-H, Qu, G-H, Xiao, K-X, Hu, Y, Li, Z-J, Chen, X-X, Xu, J-H & Ma, C 2016, Some Novel Dynamic Fuzzy Sets Models Applied to the Classification of Outsourced Software Project Risk. in B-Y Cao, P-Z Wang, Z-L Liu & Y-B Zhong (eds), International Conference on Oriental Thinking and Fuzzy Logic. vol. 443, Springer Verlag, Switzerland, pp. 273-286. https://doi.org/10.1007/978-3-319-30874-6_27

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abstract = "Some novel dynamic fuzzy sets (DFS) models, which are the generalization of fuzzy sets (FS) and the dynamization of interval-valued intuitionistic fuzzy sets (IVIFS), are presented in this paper. First, we propose some weighted DFS models from IVIFS. Second, we introduce the distance formula of DFS. Finally, we apply these DFS models and the distance measures to pattern classification of outsourced software project risk to demonstrate the advantages of these DFS models, and the experimental results show that these DFS models are more effective than the conventional clustering algorithms and IVIFS model in pattern classification.",

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Some Novel Dynamic Fuzzy Sets Models Applied to the Classification of Outsourced Software Project Risk

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Keywords

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