[PDF] Top 20 A Fuzzy Approach for Hierarchical Multiobjective Linear Programming Problems

... on hierarchical fuzzy multiobjective linear programming problems where mul- tiple decision makers in a hierarchical organization have fuzzy goals for their own ... See full document

... a fuzzy approach for hierarchical multiobjective linear programming ...formulated multiobjective stochastic linear programming problems through a ... See full document

... hierarchical multiobjective linear programming ...mulated multiobjective stochastic linear programming prob- lems through a probability maximization model and a fractile ... See full document

... In such a turbulent environment the notion of “opti- mum optimorum” is not clearly defined and satisficing rather than optimal search behavior seems to be the most appropriate option. A look at the literature reveals ... See full document

... Tucker, fuzzy Kth-best, and fuzzy branch and bound methods to solve fuzzy bilevel linear pro- gramming problems; however, the decision vari- ables are not fuzzy in any of the ... See full document

... programming problems. Tanaka and Asai [10] formulated multiobjective linear programming problems with fuzzy ...of fuzzy parametric programs. Orlovski [7] formulated ... See full document

... ,multi-objective problems with more than two objectives can also be solved using the above procedure, here in the very first stage itself the problem is transformed into a crisp problem and afterwards there will ... See full document

... random fuzzy multiobjective linear pro- gramming problems (RFMOLP) through a probability maxi- mization ...has fuzzy goals for not only permissible objective levels of a probability ... See full document

... concrete problems necessitating consideration of both fuzziness and randomness: Linear regression problem in the presence of both random and fuzzy variables [1]; Renewal processes where inter-arri- ... See full document

... Linear programming is a tool which is used in operation researches, it is important for solving the real life problems through its efficiency and ...flexible approach of (FLP) Fuzzy ... See full document

... as fuzzy data. In the conventional approach value of the parameters of linear pro- gramming models must be well defined and pre- ...of linear programming problems may be ... See full document

... In multiobjective stochastic programming problems, it is implicitly assumed that uncertain parameters or co- efficients can be expressed as random variables in prob- ability ...as fuzzy num- ... See full document

... by fuzzy LP (FLP) is always a compromise solution of the original multiobjective ...solve multiobjective CCP (MOCCP) problems assuming coefficients of constraints in right side are joint ... See full document

... an approach for solving fuzzy linear programming (FLP) problems, it has been used frequently by a number of authors in various fields [5, ...Yenilmez’s approach a FLP problem ... See full document

... fuzzified linear programming problem by changing the objective function into a multi-objective LP ...FFLP problems. Murakami et al. [10] suggested a method for solving LP problems with ... See full document

... the problems are converted into single objective fractional programming problems and then solved employing the well known available techniques of single objective programming ...MOLFP ... See full document

... It must be mentioned that the limitations of the study by Ben Abdelaziz and Masri (2010) are the incomplete information in a linear way and the low value of the minimax solutions. They did not consider the ... See full document

... stochastic programming approaches have been proposed to deal with mathematical programming problems with random variable ...two-stage programming methods and the other is chance constraints ... See full document

... possibilistic programming to transform such MFLP problems as previously modeled (Negi and Lee, 1993) into its equivalent crisp programming according to the author’s ... See full document

... Bilevel programming problems occur in diverse applica- tions, such as transportation, economics, ecology, engi- neering and ...bilevel multiobjective problems: less than a dozen of paper in ... See full document