Fuzzy Multiobjective Nonlinear Programming

  • Masatoshi Sakawa
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 14)


In this chapter, attention is focused on not only multiobjective nonlinear programming (MONLP) problems but also MONLP problems with fuzzy numbers. Along the same lines as in Chapters 4 and 6, through the revised GENOCOP III, some refined interactive fuzzy MONLP and fuzzy MONLP with fuzzy numbers are developed for deriving a satisficing solution for the decision maker.


Decision Maker Membership Function Fuzzy Number Pareto Optimal Solution Search Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Masatoshi Sakawa
    • 1
  1. 1.Department of Artificial Complex Systems Engineering, Graduate School of EngineeringHiroshima UniversityHigashi-HiroshimaJapan

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