Hung T. Nguyen

Affiliations:
  • New Mexico State University, Las Cruces, Department of Mathematical Sciences, USA


According to our database1, Hung T. Nguyen authored at least 144 papers between 1984 and 2021.

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Bibliography

2021
Special issue on soft computing in economic application.
Soft Comput., 2021

2020
Uncertainty Analysis in Economics and Finance: Preface to the Special Issue.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

2019
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics.
Proceedings of the Structural Changes and their Econometric Modeling, 2019

On Quantum Probability Calculus for Modeling Economic Decisions.
Proceedings of the Structural Changes and their Econometric Modeling, 2019

The Replacement for Hypothesis Testing.
Proceedings of the Structural Changes and their Econometric Modeling, 2019

Beyond Traditional Probabilistic Methods in Econometrics.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

A Closer Look at the Modeling of Economics Data.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

2018
How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy.
Proceedings of the Predictive Econometrics and Big Data, 2018

How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty.
Proceedings of the Predictive Econometrics and Big Data, 2018

An Invitation to Quantum Econometrics.
Proceedings of the Econometrics for Financial Applications, 2018

Quantum Ideas in Economics Beyond Quantum Econometrics.
Proceedings of the Econometrics for Financial Applications, 2018

2017
Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty.
Proceedings of the Robustness in Econometrics, 2017

Nonparametric estimation of a scalar diffusion model from discrete time data: a survey.
Ann. Oper. Res., 2017

Uncertain information fusion and knowledge integration: How to take reliability into account.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Fuzzy techniques explain empirical power law governing wars and terrorist attacks.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

2016
Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation.
Proceedings of the Causal Inference in Econometrics, 2016

Invariance Explains Multiplicative and Exponential Skedactic Functions.
Proceedings of the Causal Inference in Econometrics, 2016

Across-the-Board Spending Cuts Are Very Inefficient: A Proof.
Proceedings of the Causal Inference in Econometrics, 2016

Fifty Years of Fuzzy Sets: Contributions to Fuzzy Theory (Preface to the Special Issue).
Int. J. Intell. Syst., 2016

Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy Beyond Experts and Beyond Probabilities.
Int. J. Intell. Syst., 2016

Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

On Evidential Measures of Support for Reasoning with Integrated Uncertainty: A Lesson from the Ban of P-values in Statistical Inference.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Membership functions representing a number vs. representing a set: Proof of unique reconstruction.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
On Fuzzy Theory for Econometrics.
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015

What if We Only Have Approximate Stochastic Dominance?
Proceedings of the Econometrics of Risk, 2015

From Mean and Median Income to the Most Adequate Way of Taking Inequality into Account.
Proceedings of the Econometrics of Risk, 2015

Why Lattice-valued fuzzy values? A mathematical justification.
J. Intell. Fuzzy Syst., 2015

50 Years of fuzzy: from discrete to continuous to - Where?
J. Intell. Fuzzy Syst., 2015

Why are Vine Copulas so Successful in Econometrics?
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

50 Years of Fuzzy Sets: Preface.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

A Statistical Basis for Fuzzy Engineering Economics.
Int. J. Fuzzy Syst., 2015

In memory of Professor Hideo Tanaka: A tennis match that never happened.
Fuzzy Sets Syst., 2015

What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

Epistemic Uncertainty Modeling: The-state-of-the-art.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Why Sugeno λ-measures.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview.
Int. J. Gen. Syst., 2014

A Vine Copula Approach for Analyzing Financial Risk and Co-movement of the Indonesian, Philippine and Thailand Stock Markets.
Proceedings of the Modeling Dependence in Econometrics, 2014

Vine Copulas As a Way to Describe and Analyze Multi-Variate Dependence in Econometrics: Computational Motivation and Comparison with Bayesian Networks and Fuzzy Approaches.
Proceedings of the Modeling Dependence in Econometrics, 2014

Studying Volatility and Dependency of Chinese Outbound Tourism Demand in Singapore, Malaysia, and Thailand: A Vine Copula Approach.
Proceedings of the Modeling Dependence in Econometrics, 2014

How to Detect Linear Dependence on the Copula Level?
Proceedings of the Modeling Dependence in Econometrics, 2014

"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Modeling volatility and dependency of agricultural price and production indices of Thailand: Static versus time-varying copulas.
Int. J. Approx. Reason., 2013

2012
Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering
Studies in Computational Intelligence 393, Springer, 2012

On some claims related to Choquet integral risk measures.
Ann. Oper. Res., 2012

On Belief Functions and Random Sets.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
On Nonlinear Correlation of Random Elements.
Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011

2010
Symmetries: A General Approach to Integrated Uncertainty Management.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

On Choquet Integral Risk Measures.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

2009
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness.
Proceedings of the Foundations of Computational Intelligence, 2009

Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas.
Proceedings of the Foundations of Computational Intelligence, 2009

Logit discrete choice model: a new distribution-free justification.
Soft Comput., 2009

Decision making beyond arrow's "impossibility theorem, " with the analysis of effects of collusion and mutual attraction.
Int. J. Intell. Syst., 2009

Decision science: Foundations and applications introduction to the special issue.
Int. J. Intell. Syst., 2009

Trade-off between sample size and accuracy: Case of measurements under interval uncertainty.
Int. J. Approx. Reason., 2009

Towards Intuitive Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
On Random Sets and Belief Functions.
Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

On Modeling of Uncertainty Measures and Observed Processes.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Asymmetric information measures: how to extract knowledge from an expert so that the expert's effort is minimal.
Int. J. Autom. Control., 2008

Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems.
Reliab. Comput., 2007

Editorial.
J. Adv. Comput. Intell. Intell. Informatics, 2007

Mathematical foundations for intelligent technologies.
Inf. Sci., 2007

On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems.
Inf. Sci., 2007

Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing.
Inf. Sci., 2007

Choquet weak convergence of capacity functionals of random sets.
Inf. Sci., 2007

Random sets and imprecise probabilities.
Int. J. Approx. Reason., 2007

Towards Efficient Prediction of Decisions under Interval Uncertainty.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

Fuzzy Aggregation Techniques in Situations Without Experts: Towards A New Justification.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis).
Fuzzy Sets Syst., 2006

Random and fuzzy sets in coarse data analysis.
Comput. Stat. Data Anal., 2006

A Note on Random Upper Semicontinuous Functions.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Fundamentals of Statistics with Fuzzy Data
Studies in Fuzziness and Soft Computing 198, Springer, ISBN: 978-3-540-31695-4, 2006

2005
Fuzzy and random sets.
Fuzzy Sets Syst., 2005

Robust reasoning with rules that have exceptions: From second-order probability to argumentation via upper envelopes of probability and possibility plus directed graphs.
Ann. Math. Artif. Intell., 2005

Computing the cube of an interval matrix is NP-Hard.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

A first course in fuzzy logic (3. ed.).
Chapman&Hall/CRC Press, ISBN: 978-1-58488-526-9, 2005

2004
Research on advanced soft computing and its applications.
Soft Comput., 2004

Deduction from conditional knowledge.
Soft Comput., 2004

Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals.
Reliab. Comput., 2004

Interval-Related Talks at InTech'03 - Chiang Mai, Thailand, December 17-19, 2003.
Reliab. Comput., 2004

On probabilistic methods in fuzzy theory.
Int. J. Intell. Syst., 2004

Intelligent technologies: An introduction.
Int. J. Intell. Syst., 2004

2003
Random sets and large deviations principle as a foundation for possibility measures.
Soft Comput., 2003

Hybrid Probabilistic Models of Fuzzy and Rough Events.
J. Adv. Comput. Intell. Intell. Informatics, 2003

Which truth values in fuzzy logics are definable?
Int. J. Intell. Syst., 2003

Dirty pages of logarithm tables, lifetime of the universe, and subjective (fuzzy) probabilities on finite and infinite intervals.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002
New applications of relational event algebra to fuzzy quantification and probabilistic reasoning.
Inf. Sci., 2002

On the Optimal Choice of Quality Metric in Image Compression.
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

Probability of implication, logical version of Bayes theorem, and fuzzy logic operations.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Uncertainty in risk analysis: towards a general second-order approach combining interval, probabilistic, and fuzzy techniques.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web.
J. Adv. Comput. Intell. Intell. Informatics, 2001

Gaussian processes and martingales for fuzzy valued random variables with continuous parameter.
Inf. Sci., 2001

Extension of the concept of propositional deduction from classical logic to probability: an overview of probability-selection approaches.
Inf. Sci., 2001

Statistical and Dempster-Shafer Techniques in Testing Structural Integrity of Aerospace Structures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Logic-motivated Choice of Fuzzy Logic Operators.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A New Derivation of Centoid Defuzzification.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Hyperbolic Approach to Fuzzy Control Is Optimal.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

"Discrete (Set) Derivatives &" "Algebraic" " Fuzzy Logic Operations".
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Theoretical foundation for iterative assessment of conditional confidence measures in the framework of conditional measure theoretic-approach.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Reduction to independent variables: from normal distribution to general statistical case to fuzzy.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Second-order uncertainty as a bridge between probabilistic and fuzzy approaches.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

2000
Some mathematical structures for computational information.
Inf. Sci., 2000

On Chu spaces in uncertainty analysis.
Int. J. Intell. Syst., 2000

Fuzzy systems are universal approximators for a smooth function and its derivatives.
Int. J. Intell. Syst., 2000

Extracting fuzzy sparse rules by Cartesian representation and clustering.
Proceedings of the IEEE International Conference on Systems, 2000

Shadows of fuzzy sets-a natural approach towards describing 2-D and multi-D fuzzy uncertainty in linguistic terms.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

Complex fuzzy sets: towards new foundations.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
Probability Updating Using Second Order Probabilities and Conditional Event Algebra.
Inf. Sci., 1999

Fuzzy/Probability ~ Fractal/Smooth.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999

How to divide a territory? A new simple differential formalism for optimization of set functions.
Int. J. Intell. Syst., 1999

1998
An Application of Fuzzy Mathematical Morphology to Interval-Valued Knowledge Representation: A Remark.
Reliab. Comput., 1998

Exclusive OR Operation That Leads to the Narrowest Intervals.
Reliab. Comput., 1998

On the possibility of using complex values in fuzzy logic for representing inconsistencies.
Int. J. Intell. Syst., 1998

Strict Archimedean t-norms and t-conorms as universal approximators.
Int. J. Approx. Reason., 1998

1997
On hardware support for interval computations and for soft computing: theorems.
IEEE Trans. Fuzzy Syst., 1997

Using Gelfond-Przymusinska's epistemic specifications to justify (some) heuristic methods used in expert systems and intelligent control.
Soft Comput., 1997

From Numerical Intervals to Set Intervals (Interval-Related Results Presented at the First International Workshop on Applications and Theory of Random Sets).
Reliab. Comput., 1997

On Capacity Functionals in Interval Probabilities.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997

Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997

Fuzzy sets and probability.
Fuzzy Sets Syst., 1997

Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible.
Fuzzy Sets Syst., 1997

1996
Normal Forms for fuzzy Logic - an Application of Kolmogorov's Theorem.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996

Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems.
Int. J. Intell. Syst., 1996

On the formulation of optimization under elastic constraints (with control in mind).
Fuzzy Sets Syst., 1996

Fuzzy control as a universal control tool.
Fuzzy Sets Syst., 1996

1995
Interval sessions at NAFIPS/IFIS/NASA'94.
Reliab. Comput., 1995

Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control.
Reliab. Comput., 1995

Towards Theoretical Foundations of Soft Computing Applications.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1995

Mathematical Foundations of Conditionals and their Probabilistic Assignments.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1995

1994
A History and Introduction to the Algebra of Conditional Events and Probability Logic.
IEEE Trans. Syst. Man Cybern. Syst., 1994

A Theory of Conditional Information For Probabilistic Inference in Intelligent Systems: II. Product Space Approach.
Inf. Sci., 1994

A Measure of Average sensitivity for fuzzy Logics.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994

On modeling of if-then rules for probabilistic inference.
Int. J. Intell. Syst., 1994

1993
A theory of conditional information for probabilistic inference in intelligent systems: III. Mathematical appendix.
Inf. Sci., 1993

Maximum Entropy Algorithms for Uncertainty Measures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1993

1991
Conditional inference and logic for intelligent systems - a theory of measure-free conditioning.
North-Holland, ISBN: 978-0-444-88685-9, 1991

1984
On modeling of linguistic information using random sets.
Inf. Sci., 1984


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