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Fuzzy Stochastic Multiobjective Programming

Author

Listed:
  • Masatoshi Sakawa

    (Hiroshima University)

  • Ichiro Nishizaki

    (Hiroshima University)

  • Hideki Katagiri

    (Hiroshima University)

Abstract

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Suggested Citation

  • Masatoshi Sakawa & Ichiro Nishizaki & Hideki Katagiri, 2011. "Fuzzy Stochastic Multiobjective Programming," International Series in Operations Research and Management Science, Springer, number 978-1-4419-8402-9, September.
    • Handle: RePEc:spr:isorms:978-1-4419-8402-9
    DOI: 10.1007/978-1-4419-8402-9
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    Cited by:

    1. M. Sakawa & T. Matsui & H. Katagiri, 2013. "An interactive fuzzy satisficing method for random fuzzy multiobjective integer programming problems through probability maximization with possibility," Fuzzy Information and Engineering, Springer, vol. 5(3), pages 335-350, September.
    2. Ngandu Balekelayi & Haile Woldesellasse & Solomon Tesfamariam, 2022. "Comparison of the Performance of a Surrogate Based Gaussian Process, NSGA2 and PSO Multi-objective Optimization of the Operation and Fuzzy Structural Reliability of Water Distribution System: Case Stu," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6169-6185, December.
    3. Moussa Larbani & Po Lung Yu, 2012. "Decision Making and Optimization in Changeable Spaces, a New Paradigm," Journal of Optimization Theory and Applications, Springer, vol. 155(3), pages 727-761, December.
    4. S. Dutta & B.C. Sahoo & Rajashree Mishra & S. Acharya, 2016. "Fuzzy Stochastic Genetic Algorithm for Obtaining Optimum Crops Pattern and Water Balance in a Farm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4097-4123, September.

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