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A new approach of Romero's extended lexicographic goal programming: Fuzzy extended lexicographic goal programming

机译:Romero扩展词典编目目标规划的新方法:模糊扩展词典编目目标规划

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Goal programming (GP) is perhaps one of the most widely used approaches in the field of multicriteria decision making. The major advantage of the GP model is its great flexibility which enables the decision maker to easily incorporate numerous variations on constraints and goals. Romero provides a general structure, extended lexicographic goal programming (ELGP) for GP and some multiobjective programming approaches. In this work, we propose the extension of this unifying framework to fuzzy multiobjective programming. Our extension is carried out by several methodologies developed by the authors in the fuzzy GP approach. An interval GP model has been constructed where the feasible set has been defined by means of a relationship between fuzzy numbers. We will apply this model to our fuzzy extended lexicographic goal programming (FELGP). The FELGP is a general primary structure with the same advantages as Romero's ELGP and moreover it has the capacity of working with imprecise information. An example is given in order to illustrate the proposed method.
机译:目标编程(GP)可能是多准则决策领域中使用最广泛的方法之一。 GP模型的主要优点是其极大的灵活性,使决策者可以轻松地将各种变体纳入约束和目标中。 Romero为GP和一些多目标编程方法提供了一种通用结构,扩展的词典编目目标编程(ELGP)。在这项工作中,我们建议将此统一框架扩展到模糊多目标规划。我们的扩展是由作者在模糊GP方法中开发的几种方法进行的。构造了区间GP模型,其中通过模糊数之间的关系定义了可行集。我们将此模型应用于模糊扩展词典目标规划(FELGP)。 FELGP是一种通用的基本结构,具有与Romero的ELGP相同的优势,并且具有处理不精确信息的能力。给出一个例子来说明所提出的方法。

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