[PDF] Top 20 Solving fuzzy linear programming problems with linear membership functor-revisited

... In what follows, we will apply the modified subgradient algorithm in accordance with the Gasimov and Yenilmez’s definition GD and the revised definition RD for a fuzzy constraint to some test problems. For ... See full document

... studied linear programming problems under intuitionistic fuzzy ...intuitionistic fuzzy linear programming problem and applied it to transportation ...intuitionistic ... 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

... of fuzzy linear programming for solving a production planning problem in ...objective linear programming ...trapezoidal membership function is considered. In the future ... See full document

... ing problems under uncertainty with intuitionistic fuzzy sets/numbers [6] [7] [8] [9] ...order fuzzy sets, intuitionistic fuzzy set introduced by Atanassov [11] [12] [13] [14] has been found ... See full document

... hesitant fuzzy sets, Zhou et ...a linear programming model used to determine the number of suppliers to utilize and purchase quantity allocations among ...suppliers. Fuzzy set theory is useful ... See full document

... of DM2 that is a singleton. In other words, the upper- level problem to be solved for DM1 is also a strictly concave programming problem. From this fact together with the above theorem, the Stackelberg solution of ... See full document

... fractional linear programming in many real-world problems such as production and financial planning and institutional planning and return on investment, and ...objective Linear fractional ... 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

... for solving the linear programming problems are, i) Converting the problems to its crisp equivalent and ii) Solving the problem without converting it to its crisp equivalent ... See full document

... of linear programming ...product. Fuzzy transportation problem is the problem of minimizing fuzzy valued objective function with supply and ...demand. Solving transportation problem ... See full document

... The basic idea in barrier method is to eliminate some or all of the constraints and add to the objective function a barrier term which prescribes a high cost to infeasible points (Wright, 2001; Zboo, etc., 1999). ... See full document

... R × , c, x ∈ R n , and b ∈ R m . Without loss of generality we assume that A has full rank m. We assume that problem (1) has at least one feasible solution. In order to solve this problem, we can use Karmarkar’s ... See full document

... We have implemented our algorithm (PAM) ((PAM) with the short step rule, and (PAM) with the long step rule) using MATLAB, and we have done a brief com- parison with the primal simplex algorithm (using linprog-simplex in ... See full document

... It is observed that the result obtained in this paper is very close to those obtained using trapezoidal membership function ( as in [13]) and those using hyperbolic membership function (as in [14]) in the ... See full document

... Bilevel programming has been proposed for dealing with decision processes involving two decision makers with a hierarchical ...bilevel programming problem (BLPP) consists of two levels, namely, the first ... See full document

... Medical imaging has been an active area of research where abnormalities are detected non invasively. But dealing with medical images is a challenging task. Due to the complexity in the images, many of the structures are ... See full document

... for all and i ∈ I and k ∈ k . That is, the matrix equation (3) encompasses n x s simultaneous equations of the form (4). these equations are referred to as fuzzy relation equations.The set of all particular ... See full document

... in Fuzzy EngineeringOptimization Problems”, Tamkang Journal of Science and Engineering, ...“ Fuzzy optimum design of ...A., Fuzzy set, Information and Control, ... See full document

... not linear then it concerns that the above problem is non- convex programming, which indicates there are local optimal solutions that they are not global ...Therefore solving the problem (2) is ... See full document