•
The Fuzziness, Similarity And The Symmetry Properties On The Neutrosophic Interval Probability
Abstract
Keywords
References
REFERENCES
[1] Guiwu Wei ; The generalized dice similarity measures for multiple attribute decision making with hesitant fuzzy linguistic information, Economic Research-Ekonomska Istraživanja, (2019) 32:1, 1498-1520, DOI: 10.1080/1331677X.2019.1637765
[2] Jiaming Song, et al Statistical Similarity Analysis Based on Neutrosophic Interval Probability Neutrosophic Sets and Systems, 2021 Vol. 46, University of New Mexico
[3]FLORENTIN SMARANDACHE Introduction to eutrosophicStatisticsSitech& Education Publishing 2014
[4] Chen, J.Q.; Ye, J.; Du, S.G. Scale Effect and Anisotropy Analyzed for Neutrosophic Numbers of Rock Joint Roughness Coefficient Based on Neutrosophic Statistics. Symmetry 2017, 9, 14.
[5] Chen, J.Q.; Ye, J.; Du, S.G.; Yong, R. Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers. Symmetry 2017, 9, 123.
[6]https://en.wikipedia.org/wiki/Transcendental_function
[7]. Vasantha Kandasamy, W. B. Florentin Smarandache, Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps, Xiquan, Phoenix, 211 p., 2003,http://fs.unm.edu/NCMs.pdf
[8]. Smarandache, F. Introduction to Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability, Sitech Publishing House, Craiova, http://fs.unm.edu/NeutrosophicMeasureIntegralProbability.pdf 2013
[9] Peide Liu et al, Some Similarity Measures for Interval-Valued Picture Fuzzy Sets and Their Applications in Decision Making. Information 2019, 10(12), 369; https://doi.org/10.3390/info10120369
Cite This Article
Choose your preferred format