期刊
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 43, 期 3, 页码 2833-2851出版社
IOS PRESS
DOI: 10.3233/JIFS-212818
关键词
Single-valued neutrosophic sets; Schweizer-Sklar operations; Hamy mean operator; the entropy weight method; multi-attribute decision making
资金
- Fund for Shanxi 1331 Project Key Innovative Research Team [TD201710]
- The Discipline Group Construction Plan for Serving Industries Innovation, Shanxi, China: The Discipline Group Program of Intelligent Logistics Management for Serving Industries Innovation [XKQ201801]
- Humanities and Social Science Research Planning Fund of the Ministry of Education of China [18YJA790102]
- Fundamental Research Funds for the Central Universities [N2006015]
This paper introduces the single-valued neutrosophic Schweizer-Sklar Hamy mean operator and the single-valued neutrosophic Schweizer-Sklar weighted Hamy mean operator, and proposes a single-valued neutrosophic Schweizer-Sklar entropic weighted Hamy mean method to solve multi-attribute decision making problems.
Single-valued neutrosophic sets can efficiently depict a great deal of imprecise, uncertain and discordant information. Hamy mean operator can consider the interrelationships among multiple integrated arguments and Schweizer-Sklar operations express great flexibility in the process of information aggregation. To give full consideration to these advantages, we merge the Hamy mean operator with the Schweizer-Sklar operations in single-valued neutrosophic environment, proposing a single-valued neutrosophic Schweizer-Sklar Hamy mean operator and a single-valued neutrosophic Schweizer-Sklar weighted Hamy mean operator. Besides, we illustrate some specific cases and attributes of the two operators. Moreover, based on the entropy weight method and the single-valued neutrosophic Schweizer-Sklar weighted Hamy mean operator, this paper presents a single-valued neutrosophic Schweizer-Sklar entropic weighted Hamy mean method to tackle multi-attribute decision making problems. At last, the method and other three existing methods are applied to solve a practical multi-attribute decision making problem, which validates the credibility and validity of the single-valued neutrosophic Schweizer-Sklar entropic weighted Hamy mean method by comparing the differences among them.
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