Olga Kosheleva, Vladik Kreinovich. Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon. In Julia Rayz, Victor Raskin, Scott Dick, Vladik Kreinovich, editors, Explainable AI and Other Applications of Fuzzy Techniques - Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021, Virtual Event / West Lafayette, IN, USA, June 7-9, 2021. Volume 258 of Lecture Notes in Networks and Systems, pages 196-202, Springer, 2021. [doi]
@inproceedings{KoshelevaK21a-0,
title = {Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon},
author = {Olga Kosheleva and Vladik Kreinovich},
year = {2021},
doi = {10.1007/978-3-030-82099-2_18},
url = {https://doi.org/10.1007/978-3-030-82099-2_18},
researchr = {https://researchr.org/publication/KoshelevaK21a-0},
cites = {0},
citedby = {0},
pages = {196-202},
booktitle = {Explainable AI and Other Applications of Fuzzy Techniques - Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021, Virtual Event / West Lafayette, IN, USA, June 7-9, 2021},
editor = {Julia Rayz and Victor Raskin and Scott Dick and Vladik Kreinovich},
volume = {258},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-3-030-82099-2},
}