A new multi-attribute group decision-making method based on probabilistic multi-valued linguistic spherical fuzzy sets for the site selection of charging piles

• Autorzy: Feng Xue , Liu Shifeng , Xu Wuhuan

Identyfikatory

DOI

10.24425/acs.2024.149657

• Języki publikacji: EN

Abstrakty

EN

Motivated by the concepts of low carbon and environmental protection, electric vehicles have received much attention and become more and more popular all around the world. The expanding demand for electric vehicles has driven the rapid development of the charging pile industry. One of the prominent issues in charging pile industry is to determine their sites, which is a complex decision-making problem. As a matter of factor, the process of charging piles sites selection can be regarded as multi-attribute group decision-making (MAGDM), which is the main topic of this paper. The recently proposed linguistic spherical fuzzy sets (LSFSs) composed of the linguistic membership degree, linguistic abstinence degree and linguistic non-membership degree are powerful tools to express the evaluation information of decision makers (DMs). Based on the concept of LSFSs, we introduce probabilistic multi-valued linguistic spherical fuzzy sets (PMVLSFSs), which can describe DMs’ fuzzy evaluation information in a more refined and accurate way. The operation rules of PMVLSFSs are also developed in this article. To effectively aggregate PMVLSFSs, the probabilistic multi-valued linguistic spherical fuzzy power generalized Maclaurin symmetric mean operator and the probabilistic multi-valued linguistic spherical fuzzy power weighted generalized Maclaurin symmetric mean are put forward. Based on the above aggregation operators, a new method for MAGDM problem with PMVLSFSs is established. Further, a practical case of suitable site selection of charging pile is used to verify the practicability of this method. Lastly, comparative analysis with other methods is performed to illustrate the advantages and stability of proposed method.

Słowa kluczowe

EN

site selection of charging piles; probabilistic multi-valued linguistic spherical fuzzy sets; generalized Maclaurin symmetric mean; power generalized Maclaurin symmetric mean

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2024
• Tom: Vol. 34, No. 1
• Strony: 171--210
• Opis fizyczny: Bibliogr. 49 poz., rys., tab., wzory

Twórcy

autor

Feng Xue

• School of Economics and Management, Beijing Jiaotong University, Beijing, China
• Beijing Logistics Informatics Research Base, Beijing, China

• https://orcid.org/0000-0002-8921-7825

autor

Liu Shifeng

• School of Economics and Management, Beijing Jiaotong University, Beijing, China

• https://orcid.org/0000-0002-5996-3384

autor

Xu Wuhuan

• School of Economics and Management, Beihang University, Beijing, China

• https://orcid.org/0000-0003-2621-7913

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Uwagi

This work is supported by Fundamental Research Funds for the Central Universities (2021YJS067), Humanities and Social Science Foundation of Ministry of Education of China (17YJC870015), Beijing Social Science Foundation (19JDGLB022).