[PDF] Top 20 Solving the Interval Valued Linear Fractional Programming Problem

... the problem may not be known ...a linear programming problem we may have inexact right hand side values or the coeffi- cients in objective function may be fuzzy ... See full document

... this linear fractional program by solving a sequence of linear programs only re-computing the local gradient of the objective ...for solving LFP by converting it into a single LP, but ... 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 fuzzy fractional ... See full document

... the problem of ranking a set of intui- tionistic fuzzy numbers to define a fuzzy rank and a characteristic vagueness factor for each intuitionistic fuzzy ... See full document

... Response surface methodology [RSM] is a sequential procedure and it offers effective means for using experimental design principles to determine the optimizer of the real-valued function. Response surface ... See full document

... a programming problem with linear fractional funtionals by resolving it into two linear programming ...for solving LFP under goal ...of solving fuzzy linear ... 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

... LP problem. And the second method solves a sequence of linear programming pro- blems depending on updating the local gradient of the fractional objective func- tion at successive ... See full document

... negative variables subject to fuzzy linear constraints. A system of system always has the trivial solution presented a fuzzy approach to multi objective linear programming problem. He also ... See full document

... In this paper, some methods for solving the ILP models have been reviewed, such as the BWC, TSM, and improved TSM (ITSM). Besides, an updated two-step method (UTSM) has been proposed. This method improves the TSM ... See full document

... operational programming with inexact analysis often treats the uncertain parameters as intervals with known lower and upper bounds and un- clear ...inexact programming is that the varia- tion in system ... See full document

... by interval number linear programming problem, as a flexible mathematical programming, is that the value of the target coefficient is a closed interval, or the restraint ... See full document

... Goal programming (GP) is an analytical approach used to solve the decision making problems where the target has been assigned to all the ...fuzzy programming [1, 32] has been ...stochastic ... See full document

... This Paper is organized as follows : The paper begins with the Preliminaries section which provides some basic definitions and the concept of MOIFLFPP. The two different procedures for solving MOIFLFPP are given ... See full document

... In this paper, we proposed a new approach called LU Decomposition Method of matrices to solve fuzzy linear fractional programming problem (FLFPP). The FLFPP is converted into crisp LFPP using ... See full document

... fuzzy linear fractional programming problem by using graded mean integration representation method " Applications and Applied Mathematics, vol 10 , (2015), ... See full document

... In this paper, stock portfolio problem under uncertainty has been discussed. The study under uncertainty makes the investment portfolio more flexible, more close to reality and more practice to describe expected ... See full document

... transportation problem (TP) is a special class of linear programming problem, which deals with shipping commodities from sources to ...with fractional objective function, since in many ... See full document

... This study is organized as follows: In Section 2, some basic definitions of fuzzy symmetric trapezoidal fuzzy number and some arithmetic results are presented. In Section 3, formulation of FLFP problems and application ... See full document

... of solving Multi objective fractional Linear programming problems in crisp case and also comparing the results are same or ...number fractional programming problems are solved in ... See full document