Edgar Daniel Rodriguez Velasquez

According to our database, Edgar Daniel Rodriguez Velasquez authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Why Burr Distribution: Invariance-Based Explanation.

Edgar Daniel Rodriguez Velasquez, Nguyen Ngoc Thach

Int. J. Uncertain. Fuzziness Knowl. Based Syst., December, 2023

Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship.

Christian Servin, Aaron Velasco, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich

Proceedings of the Fuzzy Information Processing 2023, 2023

Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology.

Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Fuzzy Information Processing 2023, 2023

Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation.

Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

Why Physical Power Laws Usually Have Rational Exponents.

Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Estimate the Present Serviceability Rating of a Road Segment: Explanation of an Empirical Formula.

Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

2022

Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning.

Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich

Adv. Artif. Intell. Mach. Learn., 2022

2021

Invariance-based approach: general methods and pavement engineering case study.

Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva

Int. J. Gen. Syst., 2021

2020

Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve.

Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas.

Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Advances in Soft Computing, 2020

2019

How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications.

Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Structural Changes and their Econometric Modeling, 2019

Relationship between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness.

Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study.

Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018