A comparative study on the generalized spherical fuzzy Einstein aggregation operators

IF 1 Q3 MULTIDISCIPLINARY SCIENCES gazi university journal of science Pub Date : 2023-04-01 DOI:10.35378/gujs.937205
E. Güner, H. Aygün
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Abstract

In this study, we first define some induced generalized spherical fuzzy Einstein aggregation operators such as generalized spherical fuzzy ordered Einstein weighted averaging (GSEOWA), generalized spherical fuzzy hybrid Einstein weighted averaging (GSEHWA), generalized spherical fuzzy ordered Einstein weighted geometric (GSEOWG), and generalized spherical fuzzy hybrid Einstein weighted geometric (GSEHWG) operators. Then, we establish a model for these aggregation operators to solve the multiple attribute group decision-making problems and also we give an illustrative example. Finally, we compare the results given by all defined generalized spherical fuzzy Einstein aggregation operators within the decision-making process.
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广义球面模糊爱因斯坦聚集算子的比较研究
在本研究中,我们首先定义了一些诱导的广义球面模糊Einstein聚合算子,如广义球面模糊有序Einstein加权平均(GSEOWA)、广义球面模糊混合Einstein权重平均(GSEHWA)、,以及广义球面模糊混合Einstein加权几何算子。然后,我们建立了这些聚合算子的模型来解决多属性群决策问题,并给出了一个示例。最后,我们比较了所有定义的广义球面模糊Einstein聚集算子在决策过程中给出的结果。
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来源期刊
gazi university journal of science
gazi university journal of science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
11.10%
发文量
87
期刊介绍: The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.
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