An Intuitionistic Fuzzy Set Approach for Multi-attribute Information Classification and Decision-Making-Reference-Cited by-同舟云学术

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An Intuitionistic Fuzzy Set Approach for Multi-attribute Information Classification and Decision-Making

Published:2020-05-25 Issue:5 Volume:22 Page:1506-1520
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Singh Pritpal,Huang Yo-Ping^ORCID,Wu Shu-I

Funder

Ministry of Science and Technology, Taiwan

National Taipei University of Technology and Mackay Memorial Hospital

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-020-00879-w.pdf

Reference23 articles.

1. Singh, P., Huang, Y.-P.: A new hybrid time series forecasting model based on the neutrosophic set and quantum optimization algorithm. Comput. Ind. 111, 121–139 (2019)

2. Singh, P., Huang, Y.-P.: A high-order neutrosophic-neuro-gradient descent algorithm-based expert system for time series forecasting. Int. J. Fuzzy Syst. 21(7), 2245–2257 (2019)

3. Atanassov, K.T.: Two theorems for intuitionistic fuzzy sets. Fuzzy Sets Syst. 110(2), 267–269 (2000)

4. Wei, A.-P., Li, D.-F., Jiang, B.-Q., Lin, P.-P.: The novel generalized exponential entropy for intuitionistic fuzzy sets and interval valued intuitionistic fuzzy sets. Int. J. Fuzzy Syst. (2019). https://doi.org/10.1007/s40815-019-00743-6

5. Yuan, R., Tang, J., Meng, F.: Linguistic intuitionistic fuzzy group decision making based on aggregation operators. Int. J. Fuzzy Syst. 21(2), 407–420 (2019)

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