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本文引用的文献

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Entropy, Measures of Distance and Similarity of Q-Neutrosophic Soft Sets and Some Applications.熵、Q-中性软集的距离和相似度度量及其一些应用。
Entropy (Basel). 2018 Sep 5;20(9):672. doi: 10.3390/e20090672.
2
Q-Neutrosophic Soft Relation and Its Application in Decision Making.Q-中性软关系及其在决策中的应用。
Entropy (Basel). 2018 Mar 6;20(3):172. doi: 10.3390/e20030172.
3
The Complex Neutrosophic Soft Expert Relation and Its Multiple Attribute Decision-Making Method.复中智软专家关系及其多属性决策方法
Entropy (Basel). 2018 Jan 31;20(2):101. doi: 10.3390/e20020101.
4
An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets.基于立方犹豫模糊集相似度的前列腺癌风险等级评估方法。
J Biomed Inform. 2018 Nov;87:131-137. doi: 10.1016/j.jbi.2018.10.003. Epub 2018 Oct 16.

立方模糊集及其在决策中的应用

Cubic Vague Set and its Application in Decision Making.

作者信息

Alhazaymeh Khaleed, Al-Qudah Yousef, Hassan Nasruddin, Nasruddin Abdul Muhaimin

机构信息

Department of Basic Sciences and Mathematics, Faculty of Science, Philadelphia University, Amman 19392, Jordan.

Department of Mathematics, Faculty of Arts and Science, Amman Arab University, Amman 11953, Jordan.

出版信息

Entropy (Basel). 2020 Aug 31;22(9):963. doi: 10.3390/e22090963.

DOI:10.3390/e22090963
PMID:33286732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7597256/
Abstract

From the hybrid nature of cubic sets, we develop a new generalized hybrid structure of cubic sets known as cubic vague sets (CVSs). We also define the concept of internal cubic vague sets (ICVSs) and external cubic vague sets (ECVSs) with examples and discuss their interesting properties, including ICVSs and ECVSs under both P and R-Order. Moreover, we prove that the R and R-intersection of ICVSs (or ECVSs) need not be an ICVS (or ECVS). We also derive the different conditions for P-union (P-intersection, R and R-intersection) operations of both ICVSs (ECVSs) to become an ICVS (ECVS). Finally, we introduce a decision-making based on the proposed similarity measure of the CVSs domain and a numerical example is given to elucidate that the proposed similarity measure of CVSs is an important concept for measuring entropy in the information/data. It will be shown that the cubic vague set has the novelty to accurately represent and model two-dimensional information for real-life phenomena that are periodic in nature.

摘要

基于立方集的混合性质,我们开发了一种新的立方集广义混合结构,称为立方模糊集(CVSs)。我们还通过示例定义了内部立方模糊集(ICVSs)和外部立方模糊集(ECVSs)的概念,并讨论了它们有趣的性质,包括P序和R序下的ICVSs和ECVSs。此外,我们证明了ICVSs(或ECVSs)的R并和R交不一定是ICVS(或ECVS)。我们还推导了ICVSs(ECVSs)的P并(P交、R并和R交)运算成为ICVS(ECVS)的不同条件。最后,我们基于所提出的CVSs域相似性度量引入了一种决策方法,并给出了一个数值示例来说明所提出的CVSs相似性度量是信息/数据中测量熵的一个重要概念。结果表明,立方模糊集具有新颖性,能够准确地表示和建模本质上具有周期性的现实生活现象的二维信息。