利用一种求解全模糊线性规划问题的新方法

IF 0.5 Q4 ECONOMICS

Croatian Operational Research Review Pub Date : 2019-12-13 DOI:10.17535/crorr.2019.0027

H. Khalifa

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引用次数: 6

摘要

研究了全模糊线性规划问题，其中所有参数和变量都用L-R模糊数表示。该方法利用加权法将FFLP问题转化为三个目标函数，从而转化为单个目标函数。通过这种方法，问题没有转化为清晰的线性规划问题(LPP)，能够得到模糊最优解和相应的模糊最优解，更符合现实问题。最后通过数值算例说明了该方法的实用性和有效性。

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Utilizing a new approach for solving fully fuzzy linear programming problems

This paper deals with fully fuzzy linear programming (FFLP) problem in which all parameters and variables are characterized by L-R fuzzy numbers. By a proposed approach, the FFLP problem is converted into the triple objective functions, and hence a single objective using the weighting method. Through this approach the problem is not transformed into the crisp linear programming problem (LPP) that is enable for obtaining fuzzy optimal solution and the corresponding fuzzy optimal solution which is more realistic to the real world problems. Then a numerical example is taken to the utility and clarify the practically and the efficiency of the approach.

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来源期刊

Croatian Operational Research Review ECONOMICS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.