Probabilistic Single-Valued (Interval) Neutrosophic Hesitant Fuzzy Set and Its Application in Multi-Attribute Decision Making

被引:23
作者
Shao, Songtao [1 ]
Zhang, Xiaohong [2 ,3 ]
Li, Yu [4 ]
Bo, Chunxin [1 ]
机构
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China
[2] Shaanxi Univ Sci & Technol, Sch Arts & Sci, Dept Math, Xian 710021, Shaanxi, Peoples R China
[3] Shanghai Maritime Univ, Coll Arts & Sci, Dept Math, Shanghai 201306, Peoples R China
[4] Nanjing Univ Sci & Technol, Coll Sci, Nanjing 210000, Jiangsu, Peoples R China
来源
SYMMETRY-BASEL | 2018年 / 10卷 / 09期
基金
中国国家自然科学基金;
关键词
probabilistic single-valued (interval) neutrosophic hesitant fuzzy set; multi-attribute decision making; aggregation operator; CORRELATION-COEFFICIENT; AGGREGATION OPERATORS; CROSS-ENTROPY; INFORMATION; OPERATIONS; FRAMEWORK; FILTERS;
D O I
10.3390/sym10090419
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The uncertainty and concurrence of randomness are considered when many practical problems are dealt with. To describe the aleatory uncertainty and imprecision in a neutrosophic environment and prevent the obliteration of more data, the concept of the probabilistic single-valued (interval) neutrosophic hesitant fuzzy set is introduced. By definition, we know that the probabilistic single-valued neutrosophic hesitant fuzzy set (PSVNHFS) is a special case of the probabilistic interval neutrosophic hesitant fuzzy set (PINHFS). PSVNHFSs can satisfy all the properties of PINHFSs. An example is given to illustrate that PINHFS compared to PSVNHFS is more general. Then, PINHFS is the main research object. The basic operational relations of PINHFS are studied, and the comparison method of probabilistic interval neutrosophic hesitant fuzzy numbers (PINHFNs) is proposed. Then, the probabilistic interval neutrosophic hesitant fuzzy weighted averaging (PINHFWA) and the probability interval neutrosophic hesitant fuzzy weighted geometric (PINHFWG) operators are presented. Some basic properties are investigated. Next, based on the PINHFWA and PINHFWG operators, a decision-making method under a probabilistic interval neutrosophic hesitant fuzzy circumstance is established. Finally, we apply this method to the issue of investment options. The validity and application of the new approach is demonstrated.
引用
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页数:21
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