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Issue title: Some highlights on fuzzy systems and data mining
Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu
Article type: Research Article
Authors: Zhang, Zhenhuaa; * | Hu, Yongb | Ma, Chaoc | Xu, Jinhuid | Yuan, Shenguoa | Chen, Zhaoa
Affiliations: [a] School of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou, China | [b] Institute of Big Data and Decision Making, Jinan University, Guangzhou, China | [c] Department of Computer Science, University College London, London, UK | [d] Department of Statistics, Indiana University Bloomington, Indiana Avenue Bloomington, USA
Correspondence: [*] Corresponding author. Zhenhua Zhang, School of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou 510006, China. Tel.: +86 13660061726; Fax: +86 2039328096; E-mail: [email protected].
Abstract: Some novel concave and convex risk functions with interval valued intuitionistic fuzzy sets (IVIFS) information are proposed. By analyzing the factors of outsourced software project risk, we provide some risk functions with IVIFS information for outsourced software project. All these risk functions are classified into three types: incentive function, punitive function and equilibrium function, and some useful mathematical properties of these risk functions are proved. Finally, a practical risk assessment example to outsourced software project is given to illustrate the application of this decision making method. The simulation results show the effectiveness of these functions compared with that of some conventional functions.
Keywords: Interval valued intuitionistic fuzzy sets, risk assessment, incentive risk function, penalty risk function, equilibrium risk function, outsourced software project
DOI: 10.3233/JIFS-169196
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 3103-3111, 2016
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