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A novel job search problem in hybrid uncertain environment

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Abstract

This paper investigates a novel job search problem in a hybrid uncertain environment. Hybrid uncertainty consists of the randomness in search process and the fuzziness of offered wage. The expected value criterion and the risk tolerance criterion are designed for the job searcher to accept or reject the job offer. Under these two criteria, computing formulas to calculate the expected return of the job searcher are presented. Simultaneously, the average search times and the average chances that search returns exceed reservation wages are provided. Finally, a numerical example is given to illustrate the relationships between the expected returns of the job searcher under two criteria, and the relationships between two average chances as well.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 71071106), supported partially by Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP 20120032110071), supported partially by Program for Changjiang Scholars and Innovative Research Team in University (No. IRT 1028), and supported partially by Program for New Century Excellent Talents in Universities of China.

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Authors and Affiliations

  1. Institute of Systems Engineering, Tianjin University, Tianjin, 300072, China

    Guoli Wang, Wansheng Tang & Ruiqing Zhao

Authors
  1. Guoli Wang
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  2. Wansheng Tang
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  3. Ruiqing Zhao
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Correspondence to Wansheng Tang.

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Wang, G., Tang, W. & Zhao, R. A novel job search problem in hybrid uncertain environment. Fuzzy Optim Decis Making 12, 249–261 (2013). https://doi.org/10.1007/s10700-013-9154-0

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  • DOI: https://doi.org/10.1007/s10700-013-9154-0

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