Open Access
Issue |
JNWPU
Volume 38, Number 6, December 2020
|
|
---|---|---|
Page(s) | 1361 - 1369 | |
DOI | https://doi.org/10.1051/jnwpu/20203861361 | |
Published online | 02 February 2021 |
- Zadeh L A. Fuzzy Sets[J]. Information and Control, 1965, 8 (3): 338– 353 [Google Scholar]
- Turksens I B. Interval Valued Fuzzy Sets Based on Normal Forms[J]. Fuzzy Sets and Systems, 1986, 20 (2): 191– 210 [Article] [CrossRef] [Google Scholar]
- Atanassov K T. Intuitionistic Fuzzy Sets[J]. Fuzzy Sets and Systems, 1986, 20 (1): 87– 96 [Article] [CrossRef] [Google Scholar]
- Hu J H, Xiao K L, Chen X H, et al. Interval Type-2 Hesitant Fuzzy Set and Its Application in Multi-Criteria Decision Making[J]. Computers & Industrial Engineering, 2015, 87 (9): 91– 103 [Article] [CrossRef] [Google Scholar]
- Torra V, Narukawa Y. On Hesitant Fuzzy Sets and Decision[C]//.The 18th IEEE Int Conf on Fuzzy Systems, 2009: 1378–1382 [Google Scholar]
- Torra V. Hesitant Fuzzy Sets[J]. International Journal of Intelligent Systems, 2010, 25 (6): 529– 539 [Google Scholar]
- Zhang X L, Xu Z S. The TODIM Analysis Approach Based on Novel Measured Functions under Hesitant Fuzzy Environment[J]. Knowledge-Based Systems, 2014, 61 (2): 48– 58 [Article] [CrossRef] [Google Scholar]
- Jin F F, Ni Z W, Chen H Y. Note on "Hesitant Fuzzy Prioritized Operators and Their Application to Multiple Attribute Decision Making"[J]. Knowledge-Based Systems, 2016, 96 (C): 115– 119 [Article] [CrossRef] [Google Scholar]
- Liao H C, Xu Z S, Zeng X J. Novel Correlation Coefficients between Hesitant Fuzzy Sets and Their Application in Decision Making[J]. Knowledge-Based Systems, 2015, 82 (C): 115– 127 [Article] [CrossRef] [Google Scholar]
- Sun G D, Guan X, Yi X, et al. An Innovative TOPSIS Approach Based on Hesitant Fuzzy Correlation Coefficient and Its Applications[J]. Applied Soft Computing, 2018, 68: 249– 267 [Article] [Google Scholar]
- Zhang S, Xu Z, He Y. Operations and Integrations of Probabilistic Hesitant Fuzzy Information in Decision Making[J]. Information Fusion, 2017, 38 (C): 1– 11 [Article] [CrossRef] [Google Scholar]
- Wu Wenying, Li Ying, Jin Feifei, et al. Group Decision Making Model Based on Probabilistic Hesitant Fuzzy Information Aggregation Operations[J]. Pattern Recogntion and Artificial Intelligence, 2017, 30 (10): 894– 906 [Article] (in Chinese) [Google Scholar]
- Liang Yuying. Selection of Data Products Based on Probabilistic Hesitant Fuzzy Information Aggregation Algorithm[J]. Computer Engineering and Applications, 2019, 55 (3): 219– 224 [Article] (in Chinese) [Google Scholar]
- Liu Weifeng, Ghang Juan, He Xia. Pythagorean Fuzzy Hamacher Aggregation Operators and Its Application to Decision Making[J]. Systems Engineering-Theory & Practice, 2018, 38 (6): 1566– 1574 (in Chinese) [Google Scholar]
- Brauers W K M, Zavadskas E K. The MOORA Method and Its Application to Privatization in a Transition Economy[J]. Control Cybern, 2006, 35 (2): 445– 469 [Article] [Google Scholar]
- Brauers W K M, Zavadskas E K. MULTIMOORA Optimization Used to Decide on a Bank Loan to Buy Property[J]. Technological & Economic Development of Economy, 2011, 17 (1): 174– 188 [Article] [CrossRef] [Google Scholar]
- Brauers W K M, Balezentis A, Balezentis T. MULTIMOORA for the EU Member States Updated with Fuzzy Number Theory[J]. Technological & Economic Development of Economy, 2011, 17 (2): 259– 290 [Article] [CrossRef] [Google Scholar]
- Zhu Feng, Liu Yumin, Jin Linlin. Probabilistic Hesitant Fuzzy Multi-Attribute Decision-Making Method Based on Correlation Coefficient[J]. Statistics & Decision, 2019, 18 (8): 41– 44 [Article] (in Chinese) [Google Scholar]
- Liu Yumin, Zhu Feng, Jin Linlin. Multi-Attribute Decision Method Based on Probabilistic Hesitant Fuzzy Entropy[J]. Control and Decision, 2019, 34 (4): 861– 870 [Article] (in Chinese) [Google Scholar]
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