文章基本信息

标题：Neutrosophic cubic Heronian mean operators with applications in multiple attribute group decision-making using cosine similarity functions
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作者：Muhammad Gulistan ; Mutaz Mohammad ; Faruk Karaaslan 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2019
卷号：15
期号：9
页码：1
DOI：10.1177/1550147719877613
出版社：Hindawi Publishing Corporation
摘要：This article introduces the concept of Heronian mean operators, geometric Heronian mean operators, neutrosophic cubic number–improved generalized weighted Heronian mean operators, neutrosophic cubic number–improved generalized weighted geometric Heronian mean operators. These operators actually generalize the operators of fuzzy sets, cubic sets, and neutrosophic sets. We investigate the average weighted operator on neutrosophic cubic sets and weighted geometric operator on neutrosophic cubic sets to aggregate the neutrosophic cubic information. After this, based on average weighted and geometric weighted and cosine similarity function in neutrosophic cubic sets, we developed a multiple attribute group decision-making method. Finally, we give a mathematical example to illustrate the usefulness and application of the proposed method.
关键词：Neutrosophic set; neutrosophic cubic set; Heronian mean operator; geometric Heronian mean operator; multiple attribute decision-making problem
其他关键词：Neutrosophic set ; neutrosophic cubic set ; Heronian mean operator ; geometric Heronian mean operator ; multiple attribute decision-making problem