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A note on 'Taylor series approach to fuzzy multiple objective linear fractional programming'

机译:关于“泰勒级数模糊多目标线性分数规划的方法”的注释

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Toksari, in his paper 'Taylor series approach to fuzzy multiobjective linear fractional programming', published in Information Sciences 178 (2008), proposed a new method to solve multiple objective linear fractional programming problems and declared that it is more effective when compare to previous methods. He constructed fuzzy goals and then used first order Taylor-polynomials to approximate the corresponding linear fractional membership functions by linear functions. Aggregating the linear functions Toksari obtained a crisp linear programming problem and claimed that it is 'equal' to the fuzzy fractional one. In this paper, we indicate the fallacy that arises by using Taylor approximation and propose an improved method that guarantees the efficiency of the solution it provides. Both practical applications from Toksari's paper are recalled to show that the improvements we suggest are effective.
机译:Toksari在信息科学178(2008)上发表的论文“泰勒级数模糊多目标线性分数规划方法”中提出了一种解决多目标线性分数规划问题的新方法,并宣称与以前的方法相比,该方法更为有效。 。他构造了模糊目标,然后使用一阶泰勒多项式通过线性函数近似了相应的线性分数隶属函数。汇总线性函数Toksari获得了清晰的线性规划问题,并声称它与模糊分数函数“相等”。在本文中,我们指出了使用泰勒逼近法产生的谬误,并提出了一种改进的方法来保证所提供解决方案的效率。回顾了Toksari论文的两个实际应用,以表明我们建议的改进是有效的。

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