World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
15653
World Ranking
4478
National Ranking
2093

Mathematics

D-Index
54
Citations
15253
World Ranking
823
National Ranking
400

Research.com Recognitions

  • 2017 - ACM Senior Member

Overview

Vladik Kreinovich is affiliated with The University of Texas at El Paso in the United States. Their research spans multiple fields, primarily in computer science, decision sciences, and mathematics. The scientist's work covers key subfields such as artificial intelligence, computational theory and mathematics, management science and operations research, statistics and probability, and economics and econometrics.

The main topics addressed in Kreinovich's research include multi-criteria decision making, computability, logic and AI algorithms, neural networks and applications, advanced algebra and logic, fuzzy systems and optimization, Bayesian modeling and causal inference, and fuzzy logic and control systems.

Among the frequent collaborators with whom they have published are Olga Kosheleva, Julio C. Urenda, Laxman Bokati, Martine Ceberio, and Eric Smith.

Notable publication venues where Kreinovich's work appears repeatedly include Applied Mathematical Sciences, International Mathematical Forum, Journal of Intelligent & Fuzzy Systems, Matematičeskie struktury i modelirovanie, and Journal of Advanced Computational Intelligence and Intelligent Informatics.

Recent papers authored or co-authored by Kreinovich include:

  • Joseph Henrich, The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, 2020, Journal of Intelligent & Fuzzy Systems
  • When is deep learning better and when is shallow learning better: qualitative analysis, 2022, International Journal of Parallel Emergent and Distributed Systems
  • Review of the Book "Mind in Motion: How Action Shapes Thought" by Barbara Tversky, Basic Books, New York, 2019, 2020, Journal of Intelligent & Fuzzy Systems
  • Uninorm-like parametric activation functions for human-understandable neural models, 2022, Knowledge-Based Systems
  • A New (Simplified) Derivation of Nash's Bargaining Solution, 2020, Journal of Advanced Computational Intelligence and Intelligent Informatics

Kreinovich's contributions include nine book publications with Springer International Publishing, featuring titles such as "Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics" (2022), "Optimal Transport Statistics for Economics and Related Topics" (2023), and "Applications of Fuzzy Techniques" (2022). They have also authored eight books published by Springer Nature, including "Recent Advances in Artificial Intelligence and Data Engineering" (2021), "Prediction and Causality in Econometrics and Related Topics" (2021), and "Intelligent Computing and Applications" (2020). Additionally, there is one book published by Transportation Research Board eBooks titled "Evaluating Mechanical Properties of Earth Material During Intelligent Compaction" (2020).

Kreinovich was recognized as an ACM Senior Member in 2017.

Best Publications

  • Picture fuzzy sets - A new concept for computational intelligence problems

    Bui Cong Cuong;Vladik Kreinovich

  • Computational Complexity and Feasibility of Data Processing and Interval Computations

    Vladik Kreinovich;Anatoly Lakeyev;Jiří Rohn;Patrick Kahl

  • Handbook of Granular Computing

    Witold Pedrycz;Andrzej Skowron;Vladik Kreinovich

  • Imprecise probabilities in engineering analyses

    Michael Beer;Scott Ferson;Vladik Y Kreinovich

  • Applications of Interval Computations: An Introduction

    R. Baker Kearfott;Vladik Kreinovich

  • Applications of interval computations

    R. Baker Kearfott;Vladik Kreinovich

  • Why 70/30 or 80/20 Relation Between Training and Testing Sets: A Pedagogical Explanation

    Afshin Gholamy;Vladik Kreinovich;Olga Kosheleva

  • Fuzzy logic and its applications in medicine.

    Nguyen Hoang Phuong;Vladik Kreinovich

  • Experimental uncertainty estimation and statistics for data having interval uncertainty.

    Kreinovich, Vladik (Applied Biomathematics, Setauket, New York);Oberkampf, William Louis (Applied Biomathematics, Setauket, New York);Ginzburg, Lev (Applied Biomathematics, Setauket, New York);Ferson, Scott (Applied Biomathematics, Setauket, New York)

  • Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

    Shoumei Li;Yukio Ogura;Vladik Kreinovich

  • Arbitrary nonlinearity is sufficient to represent all functions by neural networks: a theorem

    Vladik Ya. Kreinovich

  • Applications of Continuous Mathematics to Computer Science

    Hung T. Nguyen;Vladik Kreinovich

  • Computational complexity of planning and approximate planning in the presence of incompleteness

    Chitta Baral;Vladik Kreinovich;Raúl Trejo

  • Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering

    Unknown

  • Nested Intervals and Sets: Concepts, Relations to Fuzzy Sets, and Applications

    Hung T. Nguyen;Vladik Kreinovich

  • Computing variance for interval data is NP-hard

    Scott Ferson;Lev Ginzburg;Vladik Kreinovich;Luc Longpré

  • Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control

    Hung T. Nguyen;Vladik Kreinovich;Qiang Zuo

  • A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation)

    Lukáš Havrlant;Vladik Kreinovich

  • Generic algorithms: what fitness scaling is optimal?

    Vladik Kreinovich;Chris Quintana;Olac Fuentes

  • Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering

    Hung T. Nguyen;Vladik Kreinovich;Berlin Wu;Gang Xiang

  • An IDL/ENVI Implementation of the FFT Based Algorithm for Automatic Image Registration

    Hongjie Xie;Nigel Hicks;G. Randy Keller;Haitao Huang

  • Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness

    Chitta Baral;Vladik Kreinovich;Raul Trejo

Frequent Co-Authors

Chitta Baral
Chitta Baral Arizona State University
Irina Perfilieva
Irina Perfilieva University of Ostrava
Michael Beer
Michael Beer University of Liverpool
Bernadette Bouchon-Meunier
Bernadette Bouchon-Meunier Sorbonne University
Graçaliz Pereira Dimuro
Graçaliz Pereira Dimuro Federal University of Rio Grande
Ronald R. Yager
Ronald R. Yager Iona University
Salem Benferhat
Salem Benferhat Artois University
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Christopher Kiekintveld
Christopher Kiekintveld The University of Texas at El Paso
Witold Pedrycz
Witold Pedrycz University of Alberta

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