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Taxonomy Method for Multiple Attribute Group Decision Making Under the Spherical Fuzzy Environment
Volume 33, Issue 4 (2022), pp. 713–729
Pub. online: 26 September 2022      Type: Research Article      Open accessOpen Access
Received
1 August 2021
Accepted
1 September 2022
Published
26 September 2022

Abstract

In recent years, the multi-attribute group decision making (MAGDM) problem has received extensive attention and research, and it plays an increasingly important role in our daily life. Fuzzy environment provides a more accurate decision-making environment for decision makers, so the research on MAGDM problem under fuzzy environment sets (SFSs) has become popular. Taxonomy method has become an effective method to solve the problem of MAGDM. It also plays an important role in solving the problem of MAGDM combined with other environments. In this paper, a new method for MAGDM is proposed by combining Taxonomy method with SFSs (SF-Taxonomy). In addition, we use entropy weight method to calculate the objective weight of attributes, so that more objective results can be produced when solving MAGDM problems.

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Biographies

Diao Fengxia

F. Diao is a graduate student at the School of Mathematics, Sichuan Normal University. Her research interests include multi-criteria group decision making, fuzzy sets, and spherical fuzzy sets.

Cai Qiang

G. Wei has an MSc and a PhD degree in applied mathematics from SouthWest Petroleum University, business administration from school of Economics and Management at SouthWest Jiaotong University, China, respectively. From May 2010 to April 2012, he was a postdoctoral researcher with the School of Economics and Management, Tsinghua University, Beijing, China. He is a professor in the School of Business at Sichuan Normal University. He has published more than 100 papers in journals, books and conference proceedings including journals such as Omega, Decision Support Systems, Expert Systems with Applications, Applied Soft Computing, Knowledge and Information Systems, Computers & Industrial Engineering, Knowledge-Based Systems, International Journal of Intelligent Systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, International Journal of Computational Intelligence Systems, International Journal of Machine Learning and Cybernetics, Fundamenta Informaticae, Informatica, Kybernetes, International Journal of Knowledge-Based and Intelligent Engineering Systems and Information: An International Interdisciplinary Journal. He has published 1 book. He has participated in several scientific committees and serves as a reviewer in a wide range of journals including Computers & Industrial Engineering, International Journal of Information Technology and Decision Making, Knowledge-Based Systems, Information Sciences, International Journal of Computational Intelligence Systems and European Journal of Operational Research. He is currently interested in aggregation operators, decision making and computing with words.

Wei Guiwu
weiguiwu1973@sicnu.edu.cn

Q. Cai was born in 1968. He received the PhD in management science from University of Electronic Science and Technology of China, in 2009. He is currently a professor at the Busines School, Sichuan Normal University. He has contributed more than 40 journal articles to professional journals, such as Journal of Management Sciences in China, Systems Engineering-Theory & Practice, Chinese Journal of Management Science, Journal of Industrial Engineering and Engineering Management, Journal of Systems Engineering, and so on. His current research interests include energy finance, option game theory, computational finance, and technology innovation investment and management.


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Keywords
multi-attribute group decision-making (MAGDM) spherical fuzzy sets (SFSs) taxonomy entropy method

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