Hung T. Nguyen
Affiliations: New Mexico State University, Las Cruces, Department of Mathematical Sciences, USA
According to our database^{1},
Hung T. Nguyen
authored at least 148 papers
between 1984 and 2023.
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Bibliography
2023
Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex NonLinear Economic and Financial Phenomena: A~FuzzyBased Explanation.
TFSS, 2023
2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2021
Soft Comput., 2021
2020
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
Proceedings of the Structural Changes and their Econometric Modeling, 2019
Proceedings of the Structural Changes and their Econometric Modeling, 2019
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019
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
Proceedings of the Econometrics for Financial Applications, 2018
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 SymmetryBased Explanation.
Proceedings of the Causal Inference in Econometrics, 2016
Proceedings of the Causal Inference in Econometrics, 2016
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 HeavyTailed 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 Pvalues 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
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015
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
J. Intell. Fuzzy Syst., 2015
J. Intell. Fuzzy Syst., 2015
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
Int. J. Fuzzy Syst., 2015
Fuzzy Sets Syst., 2015
What is the Right Context for an Engineering Problem: Finding Such a Context is NPHard.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Why ARMAXGARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015
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
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 Comovement 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 MultiVariate 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
Proceedings of the Modeling Dependence in Econometrics, 2014
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 timevarying 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
Ann. Oper. Res., 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
2011
Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011
2010
Int. J. Approx. Reason., 2010
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010
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 FuzzyRelated 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
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
Int. J. Intell. Syst., 2009
Tradeoff 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
Proceedings of the Classic Works of the DempsterShafer Theory of Belief Functions, 2008
TradeOff between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical Logics, 2008
TradeOff between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical Logics, 2008
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical 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 FUZZIEEE 2008, 2008
2007
Reliab. Comput., 2007
J. Adv. Comput. Intell. Intell. Informatics, 2007
Inf. Sci., 2007
Online algorithms for computing mean and variance of interval data, and their use in intelligent systems.
Inf. Sci., 2007
Ellipsoids and ellipsoidshaped fuzzy sets as natural multivariate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing.
Inf. Sci., 2007
Inf. Sci., 2007
Int. J. Approx. Reason., 2007
Int. J. Approx. Reason., 2007
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
Fuzzy Sets Syst., 2006
Comput. Stat. Data Anal., 2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
Studies in Fuzziness and Soft Computing 198, Springer, ISBN: 9783540316954, 2006
2005
Fuzzy Sets Syst., 2005
Robust reasoning with rules that have exceptions: From secondorder probability to argumentation via upper envelopes of probability and possibility plus directed graphs.
Ann. Math. Artif. Intell., 2005
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: 9781584885269, 2005
2004
Soft Comput., 2004
Soft Comput., 2004
Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals.
Reliab. Comput., 2004
Reliab. Comput., 2004
Int. J. Intell. Syst., 2004
Int. J. Intell. Syst., 2004
2003
Random sets and large deviations principle as a foundation for possibility measures.
Soft Comput., 2003
J. Adv. Comput. Intell. Intell. Informatics, 2003
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
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 secondorder 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 probabilityselection approaches.
Inf. Sci., 2001
Statistical and DempsterShafer Techniques in Testing Structural Integrity of Aerospace Structures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
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 theoreticapproach.
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
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
2000
Inf. Sci., 2000
Int. J. Intell. Syst., 2000
Fuzzy systems are universal approximators for a smooth function and its derivatives.
Int. J. Intell. Syst., 2000
Proceedings of the IEEE International Conference on Systems, 2000
Shadows of fuzzy setsa natural approach towards describing 2D and multiD fuzzy uncertainty in linguistic terms.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
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
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 IntervalValued Knowledge Representation: A Remark.
Reliab. Comput., 1998
Reliab. Comput., 1998
On the possibility of using complex values in fuzzy logic for representing inconsistencies.
Int. J. Intell. Syst., 1998
Int. J. Approx. Reason., 1998
1997
IEEE Trans. Fuzzy Syst., 1997
Using GelfondPrzymusinska's epistemic specifications to justify (some) heuristic methods used in expert systems and intelligent control.
Soft Comput., 1997
From Numerical Intervals to Set Intervals (IntervalRelated Results Presented at the First International Workshop on Applications and Theory of Random Sets).
Reliab. Comput., 1997
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997
IntervalValued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997
Fuzzy Sets Syst., 1997
Fuzzy Sets Syst., 1997
1996
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 Sets Syst., 1996
1995
Reliab. Comput., 1995
Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control.
Reliab. Comput., 1995
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1995
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
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994
Int. J. Intell. Syst., 1994
1993
A theory of conditional information for probabilistic inference in intelligent systems: III. Mathematical appendix.
Inf. Sci., 1993
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1993
1991
Conditional inference and logic for intelligent systems  a theory of measurefree conditioning.
NorthHolland, ISBN: 9780444886859, 1991
1984
Inf. Sci., 1984