[PDF] Top 20 On Solving Stock Portfolio Problem Through Interval-Valued Fuzzy Linear Programming

... 2018). Portfolio selection problem (PSP) is a well- know problem in the field of economics, which aims to allocate the capital to a pre- given set of securities and mean-while obtain the maximum ... See full document

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

... rough interval in the objective function and ...presented portfolio selection problem as multi- objective quadratic- linear programming problem with fuzzy objective ... 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

... intuitionistic fuzzy sets/numbers [6] [7] [8] [9] ...order fuzzy sets, intuitionistic fuzzy set introduced by Atanassov [11] [12] [13] [14] has been found to be highly useful in dealing with ...this ... See full document

... In Section 2 we state some required preliminaries from interval arithmetic. In Section 3 the interval valued linear fractional programming problem is introduced. In Sec- tion 4 ... See full document

... The petrochemical industry that is one of the pillar industries in our country plays a vital role in the development of the national economy. In recent years, frequent fluctuations are in oil prices, a large number of ... See full document

... Ranking fuzzy number is used in decision- making process in an economic ...In fuzzy environment ranking fuzzy numbers is a very important decision making ...of fuzzy set was first proposed by ... See full document

... of fuzzy numbers and fuzzy arith- Zadeh [36], Dubois et ...on fuzzy numbers and fuzzy arithmetic. Fuzzy systems are used to study a variety of problems ranging from fuzzy ... See full document

... bipolar interval valued fuzzy set A in X is defined as an object of the form A = { x, M(x), N(x) / xX}, where M : XD[0, 1] and N : XD[1, ...membership interval degree M(x) denotes the ... See full document

... linear programming problems without converting the problem to its crisp ...FLP problem is said to be a fully fuzzy linear programming (FFLP) problem if all ... 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

... for linear programming problems with trapezoidal fuzzy variables,” Fuzzy Sets and Systems, ...a fuzzy environment,” Management Science, ... See full document

... studied fuzzy linear fractional programming (FLFP) problems with trapezoidal fuzzy numbers where the objective functions are fuzzy numbers and the constraints are real ...the ... 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

... and fuzzy graph theory, strongest path joining any two vertices always ...in interval- valued fuzzy graph theory, the strongest path joining any two vertices does not always ... See full document

... fully fuzzy linear programming ...for solving linear programming problem in a fuzzy uncertain ...fully fuzzy linear programming in real life ... See full document

... location problem of competitive facilities, ...as fuzzy random variables, the location problem can be formulated as a fuzzy random programming ...For solving the fuzzy ... See full document