[PDF] Top 20 The Review of Uncertain Multi objective Programming

... Multi-objective programming (MOP) is an important branch of mathematical ...one objective function over a given region, which is known as multi-objective ...many ... See full document

... item STP. Kumar and Dutta, 2015 applied fuzzy goal programming for fuzzy multi- objective STP. Under some restriction . 2016 introduced different types of transportation models. Jimenez and Verdegay, ... See full document

... in uncertain stochastic ...handling; review the concept of fuzzy inference systems, and then introduce the reader to probabilistic theory and its application to fuzzy ...single objective GPFRL ... See full document

... fuzzy Multi-objective mathematical programming ...linear programming problem in intuitionistic fuzzy environment using intuitionistic fuzzy number and interval uncertainty in fuzzy ... See full document

... single objective stochastic APP models (Leung et ...that, multi-objective stochastic models have not been found in the literature from 1998 to ... See full document

... The focus of this paper is the analysis of the symmetric TSP as a Fuzzy problem with vague decision parameters. What general lesson can be taken from this study is: First multi objective TSP exists in ... See full document

... 2009, uncertain programming was first proposed by Liu ...an uncertain multi-objective programming and an uncertain goal programming were provided by Liu and Chen ... See full document

... Goal Programming, ...Goal Programming Are Developed To Make Product Least Sensitive To The Noise Factors And Achieve Optimal Response For Given Set Of Input ...Goal Programming Will Give Us ... See full document

... of multi- objective ...fuzzy programming for solving multi-objective linear bi-level multi-follower programming problem in which there is no sharing of information among ... See full document

... with uncertain variables via chance ...single-objective programming models with uncertain variables as uncertain chance-constrained model and uncertain maximization ... See full document

... for multi-objective decision making, two different methods: neutrosophic multi-objective linear/non-linear programming, neutrosophic goal programming, which have been very ... See full document

... proposes uncertain process and uncertain differential equation to deal with dynamic uncertain ...addition, uncertain calculus is introduced by Liu [26] to describe the function of uncer- tain ... See full document

... goal programming approach can be found in works of Ignizio and Cavalier(1994), Romero(1991), Schniederjans(1995), ...of objective programming approach, and use of it was extended into different ...of ... See full document

... goal programming is a multi-objective mathematical programming model that attempts to produce an optimum solution for several conflicting ... See full document

... the multi objective convex programming to the multi objective linear programming problem and using the Chebyshev’s approach for its solution, provides us a satisfactory point in ... See full document

... In this study, determining the target goals for each goal taking into account the decision variables of the ideal solution for other goals. This means that the goal to be obtained is not only the maximum ideal solution ... See full document

... solve multi-objective allocation problem of repairable components define in equation (6); we apply the fuzzy goal programming approach consideration of multi-objective vector minimum ... See full document

... bi-level multi-objective fractional integer .programming problem involving fuzzy numbers in the right- hand side of the ...fuzzy programming for multi-level linear programming ... See full document

... Abstract In this paper, we present an algorithm to solve the inequality constrained multi-objective programming MP by using a penalty function with objective parameters and constraint pe[r] ... See full document

... In this paper, a method for solving fuzzy fractional assignment problem is proposed. In the proposed method, FFAP is transformed to a MOLP of assignment problem and the resultant problem is converted into linear ... See full document