Citations refer to the original publication, not to a Scieee localized version.
Higashi, S., Ampririt, P., Ikeda, M., Matsuo, K., Barolli, L., & Xhafa Xhafa, F. (2025). A fuzzy logic approach for tie strength assessment in relationship management: design and performance comparison of two implemented fuzzy-based models. International journal of engineering business management, 17. https://doi.org/10.1177/18479790251314990
Higashi, Shunya, et al. “A fuzzy logic approach for tie strength assessment in relationship management: design and performance comparison of two implemented fuzzy-based models.” International journal of engineering business management, vol. 17, 2025. https://doi.org/10.1177/18479790251314990.
Higashi, Shunya, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, and Fatos Xhafa Xhafa. “A fuzzy logic approach for tie strength assessment in relationship management: design and performance comparison of two implemented fuzzy-based models.” International journal of engineering business management 17 (2025). https://doi.org/10.1177/18479790251314990.
Higashi, S. et al. (2025) ‘A fuzzy logic approach for tie strength assessment in relationship management: design and performance comparison of two implemented fuzzy-based models’, International journal of engineering business management, 17. Available at: https://doi.org/10.1177/18479790251314990.
S. Higashi, P. Ampririt, M. Ikeda, K. Matsuo, L. Barolli, and F. Xhafa Xhafa, “A fuzzy logic approach for tie strength assessment in relationship management: design and performance comparison of two implemented fuzzy-based models,” International journal of engineering business management, vol. 17, 2025, doi: 10.1177/18479790251314990.
@article{higashi2025fuzzy,
author = {Higashi, Shunya and Ampririt, Phudit and Ikeda, Makoto and Matsuo, Keita and Barolli, Leonard and Xhafa Xhafa, Fatos},
title = {A fuzzy logic approach for tie strength assessment in relationship management: design and performance comparison of two implemented fuzzy-based models},
journal = {International journal of engineering business management},
year = {2025},
volume = {17},
doi = {10.1177/18479790251314990},
url = {https://doi.org/10.1177/18479790251314990}
}
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