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Q-中性软关系及其在决策中的应用。

Q-Neutrosophic Soft Relation and Its Application in Decision Making.

作者信息

Abu Qamar Majdoleen, Hassan Nasruddin

机构信息

School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.

出版信息

Entropy (Basel). 2018 Mar 6;20(3):172. doi: 10.3390/e20030172.

Abstract

Q-neutrosophic soft sets are essentially neutrosophic soft sets characterized by three independent two-dimensional membership functions which stand for uncertainty, indeterminacy and falsity. Thus, it can be applied to two-dimensional imprecise, indeterminate and inconsistent data which appear in most real life problems. Relations are a suitable tool for describing correspondences between objects. In this study we introduce and discuss Q-neutrosophic soft relations, which can be discussed as a generalization of fuzzy soft relations, intuitionistic fuzzy soft relations, and neutrosophic soft relations. Q-neutrosophic soft relation is a sub Q-neutrosophic soft set of the Cartesian product of the Q-neutrosophic soft sets, in other words Q-neutrosophic soft relation is Q-neutrosophic soft sets in a Cartesian product of universes. We also present the notions of inverse, composition of Q-neutrosophic soft relations and functions along with some related theorems and properties. Reflexivity, symmetry, transitivity as well as equivalence relations and equivalence classes of Q-neutrosophic soft relations are also defined. Some properties of these concepts are presented and supported by real life examples. Finally, an algorithm to solve decision making problems using Q-neutrosophic soft relations is developed and verified by an example to show the efficiency of this method.

摘要

Q-中性软集本质上是由三个独立的二维隶属函数表征的中性软集,这三个函数分别代表不确定性、不定性和伪性。因此,它可应用于大多数实际问题中出现的二维不精确、不确定和不一致的数据。关系是描述对象之间对应关系的合适工具。在本研究中,我们引入并讨论了Q-中性软关系,它可作为模糊软关系、直觉模糊软关系和中性软关系的推广来进行讨论。Q-中性软关系是Q-中性软集的笛卡尔积的一个子Q-中性软集,换句话说,Q-中性软关系是全域笛卡尔积中的Q-中性软集。我们还给出了Q-中性软关系和函数的逆、合成的概念以及一些相关定理和性质。还定义了Q-中性软关系的自反性、对称性、传递性以及等价关系和等价类。这些概念的一些性质通过实际例子给出并得到支持。最后,开发了一种使用Q-中性软关系解决决策问题的算法,并通过一个例子进行验证,以展示该方法的有效性。

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