Analysis of Robot Selection Based on 2-Tuple Picture Fuzzy Linguistic Aggregation Operators
Analysis of Robot Selection Based on 2-Tuple Picture Fuzzy Linguistic Aggregation Operators
复制标题
基于二元图模糊语言聚合算子的机器人选择分析
DOI：
10.3390/math7101000
复制
发表时间：
2019
期刊：
影响因子：
2.4
通讯作者：
Bano Mahwish
中科院分区：
文献类型：
--
作者：
Khan Arshad Ahmad;Qiyas Muhammad;Abdullah Saleem;Luo Jianchao;Bano Mahwish
本文的目的是提出二元图模糊语言集结算子和一个决策模型来处理二元图模糊语言集形式的不确定性，二元图模糊语言算子比一般模糊集具有更大的灵活性。我们提出了一些聚合算子，即2-TPFLWA，2-TPFLOWA，2-TPFLHA，2-TPFLWG，2-TPFLOWG和2-TPFLHG算子。研究了这些算子的特点。在此基础上，我们利用这些算子设计了一个模型来处理二元图模糊语言信息下的多属性决策问题。最后，通过制造单元机器人选型的实际应用，验证了所提出的方法的可行性和有效性。此外，与其他现有的方法进行了系统的比较分析，揭示我们开发的方法的优势。结果表明，该方法是适用和有效的决策问题。
The aim of this article is to propose the 2-tuple picture fuzzy linguistic aggregation operators and a decision-making model to deal with uncertainties in the form of 2-tuple picture fuzzy linguistic sets; 2-tuple picture fuzzy linguistic operators have more flexibility than general fuzzy set. We proposed a number of aggregation operators, namely, 2-TPFLWA, 2-TPFLOWA, 2-TPFLHA, 2-TPFLWG, 2-TPFLOWG, and 2-TPFLHG operators. The distinguished feature of the developed operators are studied. At that point, we used these operators to design a model to deal with multiple attribute decision-making issues under the 2-tuple picture fuzzy linguistic information. Then, a practical application of robot selection by manufacturing unit is given to prove the introduced technique and to show its practicability and effectiveness. Besides this, a systematic comparison analysis with other existent approaches is conducted to reveal the advantage of our developed method. Results indicate that the proposed method is suitable and effective for decision-making problems.