Maleki, H. R.; Tata, M.; Mashinchi, M. Linear programming with fuzzy variables. (English) Zbl 0956.90068 Fuzzy Sets Syst. 109, No. 1, 21-33 (2000). Summary: In practice, there are many problems in which all decision parameters are fuzzy numbers, and such problems are usually solved by either possibilistic programming or multiobjective programming methods. Unfortunately, all these methods have shortcomings. In this note, using the concept of comparison of fuzzy numbers, we introduce a very effective method for solving these problems. Then we propose a new method for solving linear programming problems with fuzzy variables. Cited in 1 ReviewCited in 67 Documents MSC: 90C70 Fuzzy and other nonstochastic uncertainty mathematical programming 90C29 Multi-objective and goal programming Keywords:multiobjective programming; linear programming; fuzzy variables PDFBibTeX XMLCite \textit{H. R. Maleki} et al., Fuzzy Sets Syst. 109, No. 1, 21--33 (2000; Zbl 0956.90068) Full Text: DOI