Some Weighted Ranking Operators with Interval Valued Intuitionistic Fuzzy Information Applied to Outsourced Software Project Risk Assessment
| Autor: | Shenguo Yuan, Kui-xi Xiao, Zhenhua Zhang, Zhao Chen, Yong Hu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Degree (graph theory)
business.industry Computer science Project risk management Intuitionistic fuzzy 02 engineering and technology Interval (mathematics) computer.software_genre Interval valued Ranking (information retrieval) Operator (computer programming) Software 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining business computer |
| Zdroj: | Rough Sets ISBN: 9783319471594 IJCRS |
| DOI: | 10.1007/978-3-319-47160-0_35 |
| Popis: | Some weighted ranking operators of interval valued intuitionistic fuzzy sets (IVIFS) are presented in this paper. By analyzing the interval of membership degree, the interval of non-membership degree and the interval of hesitant degree, we provide two types of weighted ranking operators with IVIFS information. And we prove some mathematical properties of these ranking operators. Finally, a multiple attribute decision-making example applied to outsourced software project risk assessment is given to demonstrate the application of this multiple attribute decision making method. The simulation results show that two-dimensional operator with IVIFS information is more effective than three-dimensional operator. |
| Databáze: | OpenAIRE |
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