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NAFIPS 2023: Cincinnati, OH, USA
- Kelly Cohen, Nicholas Ernest, Barnabás Bede, Vladik Kreinovich:
Fuzzy Information Processing 2023 - Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2023, and at the related Workshop on Constraint Programming and Decision Making CoProD 2023, Cincinnati, OH, USA, May 31 - June 2, 2023. Lecture Notes in Networks and Systems 751, Springer 2023, ISBN 978-3-031-46777-6 - Mojtaba Yeganejou, Mohammad Keshmiri, Scott Dick:
Accurate and Explainable Retinal Disease Recognition via DCNFIS. 1-12 - Shyam Rauniyar, Donghoon Kim:
Fuzzy Inference System-Based Collision Avoidance of Unmanned Aerial Vehicles Optimized Using Genetic Algorithm. 13-24 - David Mulligan, Kelly Cohen
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Air Traffic Control Using Fuzzy Logic. 25-35 - Fernando A. C. Gomide, Ronald R. Yager:
Data Driven Level Set Fuzzy Classification. 36-43 - Barnabás Bede, Vladik Kreinovich, Peter Toth:
Equivalence Between 1-D Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation. 44-56 - Anirudh Chhabra, Sathya Karthikeyan
Fuzzy Logic-Aided Inverse Kinematics Control for Redundant Manipulators. 57-68 - Marina T. Mizukoshi, Tiago Mendonça da Costa, Yurilev Chalco-Cano
Interval Sequence: Choosing a Sequence of the Investment. 69-80 - Daniel Heitmeyer, Kelly Cohen
Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game. 81-90 - Geetanjali Bihani, Julia Taylor Rayz:
Calibration Error Estimation Using Fuzzy Binning. 91-100 - Elizabeth Rochford, Kelly Cohen
Developing System Requirements for Trustworthy AI Enabled Refueling Spacecraft. 101-114 - Vladik Kreinovich:
Theoretical Explanation of Bernstein Polynomials' Efficiency. 115-126 - Javier Viaña
Forcing the Network to Use Human Explanations in Its Inference Process. 127-140 - Ben van Oostendorp, Eric Zander, Barnabás Bede:
Deep Learning ANFIS Architectures. 141-148 - Vinícius F. Wasques, Valéria Spolon Marangoni, Shaian José Anghinoni
Growth Kinetics of Gold Nanoparticles via P-Fuzzy Systems. 149-159 - Shurendher Kumar Sampathkumar, Anirudh Chhabra, Daegyun Choi, Donghoon Kim:
Optimization of Artificial Potential Field Using Genetic Algorithm for Human-Aware Navigation of Autonomous Mobile Robots. 160-171 - Beatriz Laiate, Felipe Longo
Numerical Solutions of Fuzzy Population Models: A Case Study for Chagas' Disease Dynamics. 172-183 - Christian Servin, Brett A. Becker, Eric Eaton, Amruth N. Kumar:
Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023. 184-193 - Vinícius F. Wasques, Allan Edley Ramos de Andrade, Pedro H. M. Zanineli:
Associative Property of Interactive Addition for Intervals: Application in the Malthusian Model. 194-206 - Jared Burton, Kelly Cohen
Genetic Fuzzy Passivity-Based Control Applied to a Robust Control Benchmark Problem. 207-218 - Christian Servin, Aaron Velasco
Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship. 219-227 - Timothy Arnett, Nicholas Ernest, Zachariah Phillips:
Comparison of Explanation Methods for Genetic Fuzzy Trees for Wine Quality Predictions. 228-240 - Javier Viaña
Review of a Fuzzy Logic Based Airport Passenger Flow Prediction System. 241-245 - Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer:
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. 246-257 - Juan Carlos Figueroa García, Roman Neruda, Carlos Franco:
On Truncating Fuzzy Numbers with α-Levels. 258-267 - Alex R. Walker:
A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory. 268-278 - Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology. 279-289 - Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg:
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. 290-300 - Owen Macmann, Rick Graves, Kelly Cohen
Formal Descriptive Modeling for Self-verification of Fuzzy Network Systems. 301-311 - Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance. 312-319 - Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory. 320-324 - Sofia Holguin, Vladik Kreinovich:
Conflict Situations are Inevitable When There are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value. 325-330 - Vladik Kreinovich:
Computing at Least One of Two Roots of a Polynomial is, in General, Not Algorithmic. 331-334 - Juan A. Lopez, Vladik Kreinovich:
Towards Decision Making Under Interval Uncertainty. 335-337 - Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
What Do Goedel's Theorem and Arrow's Theorem have in Common: A Possible Answer to Arrow's Question. 338-343 - Aaron Velasco, Olga Kosheleva, Vladik Kreinovich:
High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed. 344-349 - Jieqiong Zhao, Olga Kosheleva, Vladik Kreinovich:
People Prefer More Information About Uncertainty, but Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon. 350-356
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