Liu, Baoding Dependent-chance programming in fuzzy environments. (English) Zbl 0955.90153 Fuzzy Sets Syst. 109, No. 1, 97-106 (2000). Summary: Dependent-chance programming is a new type of stochastic programming. This paper provides a framework of dependent-chance programming as well as dependent-chance multiobjective programming and dependent-chance goal programming in fuzzy environment as opposed to stochastic environment. We also extend the concepts of uncertain environments, events, chance functions and induced constraints from stochastic to fuzzy cases. Finally, a fuzzy simulation based genetic algorithm is illustrated by some numerical examples of dependent-chance programming models. Cited in 19 Documents MSC: 90C70 Fuzzy and other nonstochastic uncertainty mathematical programming 90C59 Approximation methods and heuristics in mathematical programming Keywords:fuzzy programming; genetic algorithm; fuzzy simulation PDFBibTeX XMLCite \textit{B. Liu}, Fuzzy Sets Syst. 109, No. 1, 97--106 (2000; Zbl 0955.90153) Full Text: DOI