期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：4
页码：6024
DOI：10.15680/IJIRSET.2016.0504210
出版社：S&S Publications
摘要：Geometric programming problem is a powerful tool for solving some special type non- linearprogramming problems. It has a wide range of applications in optimization and engineering for solving somecomplex optimization problems. Most of the optimization techniques with geometric programming are analyzed oncertain fixed unchanged environment. But real life applications are situation oriented and uncertain due tochanging the different environmental effects .Fuzzy system deals with such uncertain situation in much morerealistic manner. Here we try to use trapezoidal fuzzy data on geometric programming using Yager’s rankingmethod and a new approach of magnitude derivation technique. After that we compare these two methods underdifferent conditions of left fuzziness and right fuzziness for getting best possible result from a fuzzy geometricprogramming problem where the coefficients of decision variables in the objective function, the constraintcoefficients, and the right-hand sides are fuzzy numbers.
关键词：Yager’s ranking method; geometric programming; fuzzy number; generalized fuzzy number ;trapezoidal fuzzy number; left fuzziness; right fuzziness
