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orcids

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Ifigenia Administrator: Created page with "{{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title | title = All modern AI needs is intuitionistic fuzzy | shortcut = nifs/32/3/193-202 }} {{issue/author | author = Vladik Kreinovich | institution = Department of Computer Science, University of Texas at El Paso | address = 500 W. University,..."

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Created page with "{{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title | title = All modern AI needs is intuitionistic fuzzy | shortcut = nifs/32/3/193-202 }} {{issue/author | author = Vladik Kreinovich | institution = Department of Computer Science, University of Texas at El Paso | address = 500 W. University,..."

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[[Category:Publications on intuitionistic fuzzy sets|{{PAGENAME}}]]
[[Category:Publications in Notes on IFS|{{PAGENAME}}]]
[[Category:Publications in 2026 year|{{PAGENAME}}]]
{{issue/title
| title = All modern AI needs is intuitionistic fuzzy
| shortcut = nifs/32/3/193-202
}}
{{issue/author
| author = Vladik Kreinovich
| institution = Department of Computer Science, University of Texas at El Paso
| address = 500 W. University, El Paso, Texas 79968, USA
| email-before-at = vladik
| email-after-at = utep.edu
| orcid = 0000-0002-1244-1650
}}
{{issue/author
| author = Olga Kosheleva
| institution = Department of Computer Science, University of Texas at El Paso
| address = 500 W. University, El Paso, Texas 79968, USA
| email-before-at = olgak
| email-after-at = utep.edu
| orcid =
}}
{{issue/author
| author = Victor Timchenko
| institution = Admiral Makarov National University of Shipbuilding
| address = Mykolaiv, Ukraine
| email-before-at = vl.timchenko58
| email-after-at = gmail.com
| orcid =
}}
{{issue/author
| author = Yuriy Kondratenko
| institution = Petro Mohyla Black Sea National University
| address = Mykolaiv, Ukraine
| email-before-at = y_kondrat2002
| email-after-at = yahoo.com
| orcid = 0000-0001-7736-883X
}}
{{issue/data
| issue = [[Notes on Intuitionistic Fuzzy Sets/32/3|Notes on Intuitionistic Fuzzy Sets, Volume 32 (2026), Number 3]], pages 193–202
| doi = https://doi.org/10.7546/nifs.2026.32.3.193-202
| file = NIFS-32-3-193-202.pdf
| format = PDF
| size = 165
| abstract = While modern AI techniques are very successful, they are not as reliable as we would like them to be: in about 5% of the cases, they provide wrong answers. In this paper, we show
that the problem facing modern AI tools is similar to the problem that, in the past, faced the original fuzzy logic – and that led to the development of intuitionistic fuzzy techniques: the need to consider the "don't know" option in addition to the usual "yes" and "no" answers to a binary ("yes"–"no") question. Based on this analogy, we provide recommendations on how to make AI tools more reliable, and we analyze advantages and limitations on these recommendations.
| keywords = AI, Fuzzy sets, Intuitionistic fuzzy sets, Hallucinations, Softmax
| ams = 03B52, 03E72, 68T05, 68T37.
| references =
# Atanassov, K. (1999). [[Intuitionistic Fuzzy Sets: Theory and Applications]]. Studies in Fuzziness and Soft Computing, Vol. 35. Physica-Verlag, Heidelberg.
# Belohlavek, R., Dauben, J. W., & Klir, G. J. (2017). Fuzzy Logic and Mathematics: A Historical Perspective. Oxford University Press, New York.
# Damuth, J., & Ginzburg, L. R. (2025). Nonadaptive Selection: An Evolutionary Source of Ecological Laws, University of Chicago Press, Chicago, Illinois.
# David-Neel, A. (1979). Buddhism: Its Doctrines and Its Methods. Avon Books, New York.
# Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press, Cambridge, Massachusetts.
# Ibrahim, L., Hafner, F. S., & Rocher, L. (2026). Training language models to be warm can reduce accuracy and increase sycophancy. Nature, 652, 1159–1165.
# Kim, J.-E. (2026). Strengthening AI guardrails. American Scientist, 114(3), 140–142.
# Klir, G., & Yuan, B. (1995). Fuzzy Sets and Fuzzy Logic. Prentice Hall, Upper Saddle River, New Jersey.
# Knuth, D. (2022). The Art of Computer Programming. Vol. 2: Seminumerical Algorithms. Addison-Wesley, Reading, Massachusetts.
# Kosheleva, O., Kreinovich, V., Timchenko, V., & Kondratenko, Yu. (2025). Two is enough, but three (or more) is better: In AI and beyond. In: Shevchenko, A. I., & Kondratenko, Yu. P. (Eds.). Artificial Intelligence: Achievements and Recent Developments. River Publishers, Aalborg. (to appear).
# Kreinovich, V., Lakeyev, A., Rohn, J., & Kahl, P. (1998). Computational Complexity and Feasibility of Data Processing and Interval Computations. Kluwer, Dordrecht, Netherlands.
# Martin, R. (2009). The Opposable Mind: Winning Through Integrative Thinking. Harvard Business Press, Boston, Massachusetts.
# Mendel, J. M. (2024). Explainable Uncertain Rule-Based Fuzzy Systems. Springer, Cham, Switzerland.
# Nguyen, D. T., Kreinovich, V., Koshevela, O., & Phuong, N. H. How to generalize softmax to the case when an object may not belong to any given class. In: Phuong, N. H., Chau, N. T. H., & Kreinovich, V. (Eds.). AI and Computational Intelligence. Springer, Cham, Switzerland. (to appear).
# Nguyen, H, T., Kosheleva, O., & Kreinovich, V. (2009). Decision making beyond Arrow’s ‘impossibility theorem’, with the analysis of effects of collusion and mutual attraction. International Journal of Intelligent Systems, 24(1), 27–47.
# Nguyen, N. T., Walker, C. L., & Walker, E. A. (2019). A First Course in Fuzzy Logic. Chapman and Hall/CRC, Boca Raton, Florida.
# Novák, V., Perfilieva, I., & Močkoř, J. (1999) Mathematical Principles of Fuzzy Logic, Kluwer, Boston, Dordrecht.
# Papadimitriou, C. (1994). Computational Complexity. Addison-Wesley, Reading, Massachusetts.
# Parrish, S. (2023) Clear Thinking: The Art and Science of Making Better Decisions. Penguin Books, New York.
# Russinovich, M., Salem, A., Zanella-Beguelin, S., & Zunger, Y. (2025). The price of intelligence: three risks inherent in LLMs. Communications of the ACM 68(9), 46–53.
# Sipser, M. (2021). Introduction to the Theory of Computation. Course Technology, Boston, Massachusetts.
# Timchenko, V., Kondratenko, Yu., Kozlov, O., & Kreinovich, V. (2023). Fuzzy color computing based on optical logical architecture. In: Kahraman, C., Sari, I. U., Oztaysi, B., Cebi, S., Cevik Onar, S., & Çağrı Tolga, A. (Eds.). Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, Vol. 758, pp. 491–498. Springer, Cham.
# Timchenko, V., Kondratenko, Yu., & Kreinovich, V. (2022). Decision support system for the safety of ship navigation based on optical color logic gates. CEUR Workshop Proceedings, 3347, 42–52. Available online at: https://ceur-ws.org/Vol-3347/Paper_4.pdf
# Timchenko, V., Kondratenko, Yu., & Kreinovich, V. (2023). Implementation of optical logic gates based on color filters. Lecture Notes on Data Engineering and Communications Technologies, 181, 126–136.
# Timchenko, V., Kondratenko, Yu., & Kreinovich, V. (2023). Interval-valued and set-valued extensions of discrete fuzzy logics, Belnap logic, and color optical computing. In: Massanet, S. Montes, S., Ruiz-Aguilera, D., & Gonzalez-Hidalgo, M. (Eds.). Fuzzy Logic and Technology, and Aggregation Operators, EUSFLAT AGOP 2023. Lecture Notes in Computer Science, Vol. 14069, pp. 297–303. Springer, Cham.
# Timchenko, V., Kondratenko, Yu., & Kreinovich, V. (2023). The architecture of optical logical coloroid with fuzzy computing. CEUR Workshop Proceedings, 3373, 638–648.
# Timchenko, V., Kondratenko, Yu., & Kreinovich, V. (2023). Why color optical computing?. In: Phuong, N. H., & Kreinovich, V. (Eds.). Deep Learning and Other Soft Computing Techniques. Studies in Computational Intelligence, Vol. 1097, pp. 227–233. Springer, Cham.
# Timchenko, V., Kreinovich, V., & Kondratenko, Yu. (2024). Logical platforms for mobile application in decision support systems based on color information processing. Journal of Mobile Multimedia, 20(3), 679–698.
# Timchenko, V., Kreinovich, V., Kondratenko, Yu., & Horbov, V. (2024). Effectiveness evaluations of optical color fuzzy computing. In: Kondratenko, Yu. P., & Shevchenko, A. I. (Eds.). Research Tendencies and Prospect Domains for AI Development and Implementation, pp. 129–151. River Publishers, Denmark.
# [[Peter Vassilev|Vassilev, P. M.]], & Atanassov, K. T. (2019). [[Modifications and Extensions of Intuitionistic Fuzzy Sets]]. “Prof. Marin Drinov” Academic Publishing House, Sofia.
# Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

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