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Erschienen in:
Advances in Rough and Soft Clustering: Meta-Clustering, Dynamic Clustering, Data-Stream Clustering Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Some Weighted Ranking Operators with Interval Valued Intuitionistic Fuzzy Information Applied to Outsourced Software Project Risk Assessment

verfasst von : Zhen-hua Zhang, Yong Hu, Zhao Chen, Shenguo Yuan, Kui-xi Xiao

Erschienen in: Rough Sets

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel Fuzzy Multi-label Classification of Customer Complaint Logs Under Noisy Environment
Nächstes Kapitel Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions
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Metadaten
Titel
Some Weighted Ranking Operators with Interval Valued Intuitionistic Fuzzy Information Applied to Outsourced Software Project Risk Assessment
verfasst von
Zhen-hua Zhang
Yong Hu
Zhao Chen
Shenguo Yuan
Kui-xi Xiao
Copyright-Jahr
2016
Buch
Rough Sets

Print ISBN: 978-3-319-47159-4

Electronic ISBN: 978-3-319-47160-0

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-47160-0_35