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On the weakness of linear programming to interpret the nature of solution of fully fuzzy linear system

机译:关于线性规划的弱点解释完全模糊线性系统解决方案的性质

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One of the applications of linear programing is to get solutions for fully fuzzy linear system (FFLS) when the near-zero fuzzy number is considered. This usage could be applied to interpret the nature of FFLS solution according to the nature of FFLS solution in the work of Babbar et al. (Soft Comput. 17:1-12, 2012) and Kumar et al. (Advances in Fuzzy Systems 2011:1-8, 2011). This paper shows that the nature of FFLS solutions must not depend upon the nature of linear programming (LP) solutions, because LP is not enough to obtain all the exact solutions for FFLS which contradicts the claims of researchers. Counter examples are provided in order to falsify those claims. Numerically, we confirm that the nature of the possible way of solving FFLS is completely different from that of the linear system. For instance, FFLS may have two unique solutions which contradict the uniqueness that can be obtained through only one unique solution.
机译:线性编程的应用之一是在考虑近零模糊数时获得完全模糊线性系统(FFL)的解决方案。可以应用这种用法来解释FFL解决方案的性质,根据FFL等方面的BABBAR等人的作品中的FFL解决方案。 (软计算。17:1-12,2012)和Kumar等人。 (模糊系统2011:1-8,2011的进展)。本文表明FFL解决方案的性质不得依赖于线性规划(LP)解决方案的性质,因为LP不足以获得与研究人员的索赔相矛盾的FFL的所有精确解决方案。提供反击示例,以伪造这些索赔。在数值上,我们确认解决FFL的可能方式的性质与线性系统的性质完全不同。例如,FFL可以具有两个独特的解决方案,该解决方案与只能通过一个独特的解决方案获得的唯一性矛盾。

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