ПРИНЦИПЫ ОПТИМАЛЬНОСТИ В СТОХАСТИЧЕСКИХ ЗАДАЧАХ ПРИНЯТИЯ РЕШЕНИЙ

Виктор Иванович Ухоботов, Екатерина Сергеевна Михайлова
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Abstract

In decision-making problems, when a decision maker has information about unmanageable factors in fuzzy numbers, the problem of its comparison appears. Nowadays, a lot of different methods of comparing fuzzy numbers have been proposed. However, none of them is universal. Moreover, almost each method has pitfalls such as the difficulty of interpretation and inconsistency with human intuition. In the decision making theory the character of the applied problem is a dominant factor of choosing the method of comparing fuzzy numbers. In this paper an approach of comparing fuzzy numbers has been proposed based on the comparison of α-cuts. Conceptions of strong and soft preferences are proposed. According to these definitions trapezoidal and bell-shaped fuzzy numbers have been compared. This method leads to finding the solution in the lexicographic meaning of a certain multi-objective problem for some classes of fuzzy numbers. Geometrical interpretation has been given for trapezoidal and bell-shaped fuzzy numbers
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在决策问题中,当决策者以模糊数的形式掌握不可管理因素的信息时,其比较问题就出现了。目前,人们提出了许多不同的模糊数比较方法。然而,没有一个是通用的。此外,几乎每种方法都有缺陷,如解释困难和与人类直觉不一致。在决策理论中,应用问题的性质是选择模糊数比较方法的主要因素。本文提出了一种基于α-切割比较的模糊数比较方法。提出了强偏好和软偏好的概念。根据这些定义,对梯形模糊数和钟形模糊数进行了比较。该方法用于求解某一类模糊数的多目标问题在词典意义上的解。给出了梯形模糊数和钟形模糊数的几何解释
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