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Issue:All modern AI needs is intuitionistic fuzzy

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http://ifigenia.org/wiki/issue:nifs/32/3/193-202
Title of paper: All modern AI needs is intuitionistic fuzzy
Author(s):
Vladik Kreinovich     0000-0002-1244-1650
Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, Texas 79968, USA
vladik@utep.edu
Olga Kosheleva     0000-0003-2587-4209
Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, Texas 79968, USA
olgak@utep.edu
Victor Timchenko     0000-0003-4259-3919
Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine
vl.timchenko58@gmail.com
Yuriy Kondratenko     0000-0001-7736-883X
Petro Mohyla Black Sea National University, Mykolaiv, Ukraine
y_kondrat2002@yahoo.com
Published in: 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
Download:  PDF (165  Kb, File info)
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 Classification: 03B52, 03E72, 68T05, 68T37.
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