A novel weighted average index model of interval valued intuitionistic fuzzy sets (IVIFS) is presented in this paper. By analyzing the interval of membership degree, the interval of non-membership degree and the interval of hesitancy degree, we provide two weighted arithmetic average indexes and two geometric average indexes of IVIFS. And we prove some mathematical properties of these average indexes. Finally, a multiple attribute decision making example applied to outsourced software project risk assessment is given to demonstrate the application of these statistical indexes. The simulation results show that the evaluation methods on these average indexes are all effective.
|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|
|ISBN (Print)||978-3-319-30873-9, 978-3-319-30874-6|
|Publication status||Published - 19 Jun 2016|
Bibliographical noteThe full text is not available on the repository.
- Interval valued intuitionistic fuzzy sets
- Outsourced software project
- Risk assessment
- Average index
Zhang, Z-H., Li, Z-J., Chen, X-X., Qu, G-H., Hu, Y., Xu, J-H., & Ma, C. (2016). A Novel Weighted Average Index Method of Interval Valued Intuitionistic Fuzzy Sets and Its Application to Outsourced Software Project Risk Assessment. 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. 259-271). Switzerland: Springer Verlag. https://doi.org/10.1007/978-3-319-30874-6_26