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Improved fuzzy ranking procedure for decision making in product design

机译:改进的用于产品设计决策的模糊排序程序

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In this paper, we present a method for ranking any number of normal fuzzy numbers using trapezoidal fuzzy numbers as a general form, where rectangular and triangular fuzzy numbers are particular cases of such a form. This general form is supported by 29 cases, which is enough to consider all the possible situations between two normal fuzzy numbers, such as trapezoidal, triangular, or rectangular. The ranking procedure is performed using four ordering criteria into a pseudo-order preference model considering the type of the fuzzy preference relation. Two examples are given to illustrate and validate the applicability and practicality of this fuzzy ranking method. A comparison and an analysis of the proposed method is presented to demonstrate its usefulness and its contribution to the improvement of the decision making processes as a result of its management of vague or imprecise information, and whether or not that information should be allowed to be entered into such processes.
机译:在本文中,我们提出了一种使用梯形模糊数作为一般形式对任意数量的正常模糊数进行排序的方法,其中矩形和三角形模糊数是这种形式的特殊情况。此一般形式由29种情况支持,足以考虑两个普通模糊数(例如梯形,三角形或矩形)之间的所有可能情况。考虑到模糊偏好关系的类型,使用四个排序标准对伪偏好模型进行排序。给出了两个例子来说明和验证该模糊排序方法的适用性和实用性。对该方法进行了比较和分析,以证明其有用性以及由于其管理模糊或不准确的信息以及是否应允许输入信息而对改进决策过程的贡献。进入这样的过程。

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