Liu, Baoding Toward fuzzy optimization without mathematical ambiguity. (English) Zbl 1068.90618 Fuzzy Optim. Decis. Mak. 1, No. 1, 43-63 (2002). Summary: Fuzzy programming has been discussed widely in literature and applied in such various disciplines as operations research, economic management, business administration, and engineering. The main purpose of this paper is to present a brief review on fuzzy programming models, and classify them into three broad classes: expected value model, chance-constrained programming and dependent-chance programming. In order to solve general fuzzy programming models, a hybrid intelligent algorithm is also documented. Finally, some related topics are discussed. Cited in 29 Documents MSC: 90C70 Fuzzy and other nonstochastic uncertainty mathematical programming Keywords:Fuzzy programming; fuzzy simulation; genetic algorithm; neural network PDF BibTeX XML Cite \textit{B. Liu}, Fuzzy Optim. Decis. Mak. 1, No. 1, 43--63 (2002; Zbl 1068.90618) Full Text: DOI