贴现现金流分析:一种交互式模糊算法

C. Lesage
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引用次数: 35

摘要

管理学和经济学中使用的许多模型都是以算术为基础的。此外,这些学科普遍可用信息的不完全性导致了许多基于模糊算法的决策支持系统。然而,它们的实际应用并没有取得预期的成功,因为它们的输出通常太不完善,无法帮助管理人员获得相关信息。本文提出了一种降低模糊算法模型输出不完全性的计算方法。我们提出了一种方法,旨在将模糊信息集成到算术模型中,这些模糊信息仍然没有考虑到:算术运算(加、减、除或积)的两个变量之间潜在存在的相互作用的模糊知识。通过对三种标准关系的建模,我们提出了一种交互式模糊算法的解决方案,该算法减少了输出的不完全性,以帮助决策者。我们通过贴现现金流分析得出的净现值标准,将这种方法应用于投资选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discounted cash-flows analysis: An interactive fuzzy arithmetic approach
Many models used in management and economics are based on an arithmetic basis. Moreover, the imperfection of generally available information in these disciplines has led to numerous decision support systems based on fuzzy arithmetic. However, their practical use did not have success expected, because their output were generally too imperfect to help a manager with relevant information. This paper outlines a computational method for decreasing the imperfection of the output of fuzzy arithmetic models. We suggest an approach aiming at integrating into the arithmetic models fuzzy information still not taken into account: the vague knowledge of the interaction potentially existing between the two variables of an arithmetic operation (addition, subtraction, division or product). Thanks to the modelling of three standard relations, we propose a solution towards an interactive fuzzy arithmetic, which reduces the imperfection of the output to help the decision maker. We apply this approach to the choice of investment by the criterion of the Net Present Value resulting from a Discounted Cash-Flows Analysis.
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