What is the True Value of Fuzzy Reasoning in the Framework of the ‘Human Intelligence’ Linguistic Variable?
Main Article Content
Article Details
Copyright (c) 2025 Cojocaru AV, et al.

This work is licensed under a Creative Commons Attribution 4.0 International License.
The International Journal of Physics Research and Applications is committed in making it easier for people to share and build upon the work of others while maintaining consistency with the rules of copyright. In order to use the Open Access paradigm to the maximum extent in true terms as free of charge online access along with usage right, we grant usage rights through the use of specific Creative Commons license.
License: Copyright © 2017 - 2025 | Open Access by International Journal of Physics Research and Applications is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at Heighten Science Publications Inc.
With this license, the authors are allowed that after publishing with the journal, they can share their research by posting a free draft copy of their article to any repository or website.
Compliance 'CC BY' license helps in:
Permission to read and download | ✓ |
Permission to display in a repository | ✓ |
Permission to translate | ✓ |
Commercial uses of manuscript | ✓ |
'CC' stands for Creative Commons license. 'BY' symbolizes that users have provided attribution to the creator that the published manuscripts can be used or shared. This license allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author.
Please take in notification that Creative Commons user licenses are non-revocable. We recommend authors to check if their funding body requires a specific license.
1. Boole G. The laws of thought. London: Walton and Maberly; 1853.
2. Bardossy A, Duckstein L. Fuzzy rule-based modeling with applications to geophysical, biological, and engineering systems. Boca Raton: CRC Press; 1995. Available from: https://doi.org/10.1201/9780138755133
3. Dubois D, Prade H. Possibility theory: An approach to computerized processing of uncertainty. New York: Plenum Press; 1988; 268. Available from: https://archive.org/details/possibilitytheor0000dubo
4. Dubois D, Prade H. Fuzzy sets in approximate reasoning. Part 1: Inference with possibility distributions. Fuzzy Sets Syst. 1991;57(2):173–181. Available from: https://hal.science/hal-04069818v1
5. Mamdani EH. Application of fuzzy logic to approximate reasoning using linguistic systems. IEEE Trans Comput. 1977;C-26(12):1182–1191. Available from: https://doi.org/10.1109/TC.1977.1674779
6. Kosko B. Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence. Englewood Cliffs (NJ): Prentice Hall; 1992;449. Available from: https://dl.icdst.org/pdfs/files3/89a89521a4e96ecbecfd5d4dc42b9279.pdf
7. Cojocaru AV, Bălint St. IQ index interpretation using fuzzy sets. Preprint.
8. Zadeh LA. The concept of a linguistic variable and its application to approximate reasoning—I. Inf Sci. 1975;8:199–249. Available from: https://doi.org/10.1016/0020-0255(75)90036-5
9. Blinowska A, Duckstein L. Medical applications of fuzzy logic—Fuzzy patient state in arterial hypertension analysis. IEEE EMBS Trans. 1993.