[PDF] Top 20 A new model for solving fuzzy linear fractional programming problem with ranking function

... Linear fractional programming (LFP) problem is one of the most important techniques in operation ...to linear fractional programming model; hence this model ... See full document

... Intuitionistic Fuzzy Set (IFS) can be used as a general tool for modeling problems of decision making under uncertainty where, the degree of rejection is defined simultaneously with the degree of acceptance of a ... See full document

... of solving the fuzzy fractional assignment problems, where the cost of the objective function is expressed as triangular fuzzy number, is ...the linear programming of ... See full document

... of fuzzy numbers are introduced by ...Representation, Ranking, Distance and Similarity of L-R type fuzzy number and ...of fuzzy numbers. Later Chen and Wang [5] (2008) introduced Fuzzy ... See full document

... optimization problem in general needs to address several objective functions and hence become a multiobjective programming problem in a natural ...goal programming developed by Charnes and ... See full document

... This paper is outlined as follows. Section 2 gives the preliminaries of the fuzzy number. In Section 3, mathematical formulation of the FLFPP is given. Section 4 describes the proposed method and Section 5 ... See full document

... a new method by introducing a new arithmetic operations and a ranking method for the solution of Intuitionistic Fuzzy Linear Programming Problems without converting it to an ... See full document

... to model uncertainty in optimization problems such as stochastic optimization and fuzzy ...tion problem with interval valued objective ...optimization problem with in- terval valued objective ... See full document

... for linear programming to the ratio of linear functions or to the case of the ratio of quadratic functions in such a ...as fractional programming ...equivalent linear program, ... See full document

... introduced linear plus linear fractional programming problem (LPLFPP) and also introduced optimality criteria for ...a linear and linear fractional ...of ... See full document

... Linear programming has extensively evolved in order to model and tackle the real life problem more accurately and ...precisely. Linear programming problem assume that all ... See full document

... FNLP problem as a similar problem that lead to an efficient algorithm called the dual simplex algorithm [16] for solving FNLP ...for solving FVLP problems directly without need of any ... See full document

... for model (5) – (6) with max – min or max – product composition can be obtained from two sub- problems, which are formed by separating the negative and non negative coefficient in the objective ... See full document

... mathematical model such as (3) is sometimes not easy in real situations especially when the values are unavailable or difficult to ...regression model can be used to obtain the model coefficient ... See full document

... study fuzzy linear programming (FLP) models in which the parameters are known only partially to some degree of ...of fuzzy set theory to become a useful tool for adequate mathematical analysis ... See full document

... 3.2.1 Algorithm-I. Attention has been paid to compute the solution of MOLFPP. Algorithm-I for finding optimal solution of MOLFPP can be summerized in a series of steps which are as follows:- Step 1: First convert each ... See full document

... of fuzzy Multi-objective mathematical programming ...in fuzzy environment was further studied and was applied in various areas by many ...intuitionistic fuzzy sets as a powerful extension of ... See full document

... LFP problem with interval coefficients in objective function which is based on Charnes and Cooper technique (2012) solved the LFP problem by algebraic approach which depends on the duality concept ... See full document

... for solving fuzzy rough linear fractional programming (FRLFP) ...objective function and constraints are fuzzy rough number. The FRLFP problem can be reduced as to ... See full document

... a new technique for solving a linear programming problem with homogeneous constraints in fuzzy ...introduced fuzzy linear programming problem with ... See full document