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Evaluation of Developer Efficiency Based on Improved DEA Model

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Abstract

In this paper, we evaluate the developer’s efficiency by an improved DEA model. It is a combination of traditional C2R model and fuzzy mathematics, which forms a new fuzzy DEA model. The model overcomes the strong objective factors that in the traditional DEA model and not support fuzzy input and output. It is conducive to improve the efficiency of the developer, which is very important for decision of makers.

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References

  1. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.

    Article  MathSciNet  MATH  Google Scholar 

  2. Wu, W., & Liu, Y. (2000). The determination of the index in DEA is the basis of input (out) and its application. Operations and Management, 5(4), 67–70.

  3. Cao, B. (2005). Application of fuzzy mathematics and system. Maryland, USA: Science Press.

    Google Scholar 

  4. Forsund, F. R., & Hjalmarsson, L. (2004). Calculating scale elasticity in DEA models. Journal of the Operational Research Society, 55(10), 1023–1038.

    Article  MATH  Google Scholar 

  5. Ma, Z., Ren, H., & Dai, Y. (2001). DEA model based on fuzzy comprehensive evaluation method. Fuzzy Systems and Mathematics, 15(3), 61–67.

    MathSciNet  MATH  Google Scholar 

  6. Li, G., & Liu, Y. (1996). DEA model with triangular fuzzy number elements. Journal of Systems Engineering, 4, 37–44.

    Google Scholar 

  7. Ma, Z., Ren, H., & Dai, Y. (2001). DEA model based on fuzzy comprehensive evaluation method. Fuzzy Systems and Mathematics, 15(3), 61–67.

    MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Hubei Province Key Laboratory of Intelligent Robots, Wuhan Institute of Technology, Wuhan, People’s Republic of China

    Qishou Ke & Shaofei Wu

  2. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, People’s Republic of China

    Qishou Ke & Shaofei Wu

  3. Wuhan inCarCloud Technologies Pte. Ltd., Wuhan, People’s Republic of China

    Mingqing Wang

  4. Wuhan Winphone Technology Co., Ltd, Wuhan, People’s Republic of China

    Yuntao Zou

Authors
  1. Qishou Ke
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  2. Shaofei Wu
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  3. Mingqing Wang
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  4. Yuntao Zou
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Correspondence to Shaofei Wu.

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Ke, Q., Wu, S., Wang, M. et al. Evaluation of Developer Efficiency Based on Improved DEA Model. Wireless Pers Commun 102, 3843–3849 (2018). https://doi.org/10.1007/s11277-018-5415-0

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  • DOI: https://doi.org/10.1007/s11277-018-5415-0

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