[PDF] Top 20 On Solving Fuzzy investment Problem using Dynamic Programming

... the investment process contributes to growth through the efficient allocation of ...the investment processes depends on research to identify opportunities risk- adjusted return over client's chosen time ... See full document

... In the above problem the profit maximization is from [4859.64, 5260.43] and the cost of production ranges from [4083.2, 4396.44].This new method reduces the ambiguity in the solution. This forms an optimal ... See full document

... Ezzati, R., Kharram, E., & Enayati, R. (2015). A new algorithm to solve fully fuzzy linear programming problems using the MOLP. Applied mathematical modelling, 3(12), 3183- 3193. Hamadameen, O. ... See full document

... of fuzzy numbers are introduced by ...type fuzzy number and ...of fuzzy numbers. Later Chen and Wang [5] (2008) introduced Fuzzy distance of trapezoidal fuzzy ...triangular fuzzy ... See full document

... portfolio problem is formulated as a linear programming ...The problem is considered by incorporating pythagorean fuzzy numbers in all of rate of risked return, expected return rate, portfolio ... See full document

... are fuzzy as MFLP problems. Their method uses fuzzy decision variables with a joint membership function instead of crisp decision ...bound fuzzy decision variables set up the lower bounds of the ... See full document

... intuitionistic fuzzy linear fractional programm - ing problem is discussed with two different methods namely Kanti Swarup’s Fractional algorithm and weighting factor method in which the constraints are ... See full document

... for solving Intuitionistic Fuzzy Linear Programming Problems (IFLPP) involving triangular intuitionistic fuzzy numbers ...Intuitionistic Fuzzy Linear Programming Problem ... See full document

... objective programming. [1] presents an alternative method based on fuzzy programming for solving multi-objective linear bi-level multi-follower programming problem in which there ... See full document

... under fuzzy environment was first proposed by Bellman and Zadeh 1 The idea was adopted by several authors for solving fuzzy linear programming ...of fuzzy optimization techniques to ... See full document

... for solving a Fuzzy Linear Fractional Programming Problem ) when some of its constraints are fuzzy homogeneous in trapezoidal fuzzy ...numbers. Using e fuzzy ... See full document

... optimization problem always make the choice that looks best at the moment and adds is it to best ...The dynamic programming method can be used when the solution to a problem may be viewed as a ... See full document

... Based on the current study it can be concluded that it is better to use proposed version of solving Fully Fuzzy Linear Programming as it was compared to the existing one. In this paper, a new ... See full document

... trapezoidal fuzzy numbers by the method of ranking function for solving linear programming problems without converting the problem to its crisp ...use fuzzy trapezoidal membership ... 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

... transportation problem is one of the earliest applications of linear programming ...for solving transportation problems in fuzzy environment but in all the proposed methods, the parameters are ... See full document

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

... This paper has discussed the use of fuzzy linear programming for solving a production planning problem in agriculture. It concludes that how the farmer gets best possible result with the use ... See full document

... goal programming needs the additional information from decision makers for priority structure of var- ious goals and their respective aspiration ...a fuzzy approach to multiobjective linear ... See full document

... for solving a fuzzy × linear system whose coefficient matrix is crisp and the right hand side column is an arbitrary fuzzy number ...of fuzzy numbers and replaced the original fuzzy ... See full document