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Chance constrained integer programming models for capital budgeting in fuzzy environments

Author

Listed:
  • K Iwamura

    (Josai University)

  • B Liu

    (Tsinghua University)

Abstract

This paper attempts to model capital budgeting problems by chance constrained integer programming in a fuzzy environment (rather than a stochastic environment). Some examples are also provided to illustrate the potential applications of new models. Finally, a fuzzy simulation based genetic algorithm is designed for solving chance constrained integer programming models with fuzzy parameters.

Suggested Citation

  • K Iwamura & B Liu, 1998. "Chance constrained integer programming models for capital budgeting in fuzzy environments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 49(8), pages 854-860, August.
    • Handle: RePEc:pal:jorsoc:v:49:y:1998:i:8:d:10.1057_palgrave.jors.2600576
    DOI: 10.1057/palgrave.jors.2600576
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    Citations

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    Cited by:

    1. Huang, Xiaoxia, 2007. "Optimal project selection with random fuzzy parameters," International Journal of Production Economics, Elsevier, vol. 106(2), pages 513-522, April.
    2. C. Dai & Y. Cai & Y. Liu & W. Wang & H. Guo, 2015. "A Generalized Interval Fuzzy Chance-Constrained Programming Method for Domestic Wastewater Management Under Uncertainty – A Case Study of Kunming, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3015-3036, July.
    3. C. Dai & Y. P. Cai & W. T. Lu & H. Liu & H. C. Guo, 2016. "Conjunctive Water Use Optimization for Watershed-Lake Water Distribution System under Uncertainty: a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4429-4449, September.
    4. Khouloud Dorgham & Issam Nouaouri & Jean-Christophe Nicolas & Gilles Goncalves, 2022. "Collaborative hospital supply chain network design problem under uncertainty," Operational Research, Springer, vol. 22(5), pages 4607-4640, November.
    5. Dai, C. & Cai, Y.P. & Ren, W. & Xie, Y.F. & Guo, H.C., 2016. "Identification of optimal placements of best management practices through an interval-fuzzy possibilistic programming model," Agricultural Water Management, Elsevier, vol. 165(C), pages 108-121.
    6. Beskese, Ahmet & Kahraman, Cengiz & Irani, Zahir, 2004. "Quantification of flexibility in advanced manufacturing systems using fuzzy concept," International Journal of Production Economics, Elsevier, vol. 89(1), pages 45-56, May.
    7. Lu, W.T. & Dai, C. & Fu, Z.H. & Liang, Z.Y. & Guo, H.C., 2018. "An interval-fuzzy possibilistic programming model to optimize China energy management system with CO2 emission constraint," Energy, Elsevier, vol. 142(C), pages 1023-1039.

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