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Fuzzy Decision of Enterprise Human Resources Planning under Demand Exceeding Supply

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Fuzzy Information and Engineering 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

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Abstract

It is important for enterprises to make human resources planning scientifically. Ranking criteria of triangular fuzzy numbers was introduced simply and a model of fuzzy integer linear programming decision on demand exceeding supply of human resources was established based on cost minimizing in this paper. Then an example was given to demonstrate this method. And the proposed approach is simple, scientific and feasible to transform triangular fuzzy numbers ranking criteria into the classic linear programming problem on fuzzy decision of enterprise human resources planning under demand exceeding supply.

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References

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Author information

Authors and Affiliations

  1. School of Business, Tianjin University of Commerce, Tianjin, 300134, China

    Qing Wang & Lijun Yan

Authors
  1. Qing Wang
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  2. Lijun Yan
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Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science Guangzhou Higher Education Mega Center , Guangzhou University, 230Wai Huan Xi Road, ZIP 510006, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, China

    Guo-jun Wang

  3. Institute of Mathematics and Systems Science, Liaoning Technical University , 123000, China

    Si-zong Guo

  4. School of Science, Jimei University , 361021, Xiamen, Fujian, China

    Shui-li Chen

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© 2010 Springer-Verlag Berlin Heidelberg

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Wang, Q., Yan, L. (2010). Fuzzy Decision of Enterprise Human Resources Planning under Demand Exceeding Supply. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_44

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

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