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Mathematical optimization approach to deal with optimization problems under uncertainty
Robust fuzzy programming (ROFP) is a powerful mathematical optimization approach to deal with optimization problems under uncertainty. This approach is
Robust_fuzzy_programming
Mathematical optimization theory
Minimax regret Robust statistics Robust decision making Robust fuzzy programming Stochastic programming Stochastic optimization Info-gap decision theory Taguchi
Robust_optimization
System for reasoning about vagueness
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the
Fuzzy_logic
Method to analyze non-binary inputs
A fuzzy control system is a control system based on fuzzy logic – a mathematical system that analyzes analog input values in terms of logical variables
Fuzzy_control_system
operations research, Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process of
Genetic_fuzzy_systems
Iterative simulation method
meta-optimization, or even fine-tuned during the optimization, e.g., by means of fuzzy logic. Parameters have also been tuned for various optimization scenarios
Particle_swarm_optimization
Fuzzy extractors are a method that allows biometric data to be used as inputs to standard cryptographic techniques, to enhance computer security. "Fuzzy
Fuzzy_extractor
Computer system simulating intelligence
Boolean logic, fuzzy logic is based on fuzzy sets. In both models, a property of an object is defined as belonging to a set; in fuzzy logic, however,
Computational_intelligence
Field of machine learning
reinforcement learning algorithms use dynamic programming techniques. The main difference between classical dynamic programming methods and reinforcement learning
Reinforcement_learning
Types of approximate algorithm
selection, such as genetic algorithms, genetic programming, evolution strategies and evolutionary programming. These algorithms use crossover, mutation, and
Soft_computing
Competitive algorithm for searching a problem space
representations are explored in genetic programming and graph-form representations are explored in evolutionary programming; a mix of both linear chromosomes
Genetic_algorithm
Evolving computer programs with techniques analogous to natural genetic processes
publications with the Genetic Programming Bibliography, surpassing 10,000 entries. In 2010, Koza listed 77 results where genetic programming was human competitive
Genetic_programming
System that manages the behavior of other systems
logic, and the outputs are de-fuzzified to control equipment. When a robust fuzzy design is reduced to a single, quick calculation, it begins to resemble
Control_system
Programming paradigm based on formal logic
Logic programming is a programming, database, and knowledge representation paradigm based on formal logic. A logic program is a set of sentences in logical
Logic_programming
Branch of engineering and mathematics
probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms or a combination of these methods, such as neuro-fuzzy algorithms
Control_theory
Subfield of machine learning, intelligent control, and control theory
pp. 888–893 Jiang, Yu; Jiang, Zhong-Ping (2017-05-30). Robust Adaptive Dynamic Programming (1 ed.). Wiley. doi:10.1002/9781119132677. ISBN 978-1-119-13264-6
Machine_learning_control
Method of mathematical optimization
evolution for function optimization". Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS). pp. 519–523. doi:10.1109/NAFIPS
Differential_evolution
Subset of evolutionary computation
Programming: Cartesian genetic programming Gene expression programming Grammatical evolution Linear genetic programming Multi expression programming Evolutionary
Evolutionary_algorithm
Subfield of artificial intelligence
such as knowledge representation and automated reasoning, to create more robust, more reliable, and more trustworthy AI. This combination allows statistical
Neuro-symbolic_AI
boosting algorithm that may be robust to noisy datasets LogitBoost: logistic regression boosting LPBoost: linear programming boosting Bootstrap aggregating
List_of_algorithms
Automated software testing technique
In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected
Fuzzing
Overview of and topical guide to machine learning
algorithms in economics Genetic fuzzy systems Genetic memory (computer science) Genetic operator Genetic programming Genetic representation Geographical
Outline_of_machine_learning
Multiple-criteria decision analysis method
approach (OPA-N) Rough ordinal priority approach Robust ordinal priority spproach (OPA-R) Hybrid OPA–Fuzzy EDAS Hybrid DEA-OPA model Hybrid MULTIMOORA-OPA
Ordinal_priority_approach
contributions to fuzzy control system design and analysis 2014 Hisao Ishibuchi For contributions to evolutionary multiobjective optimization and fuzzy rule-based
List of fellows of IEEE Computational Intelligence Society
List_of_fellows_of_IEEE_Computational_Intelligence_Society
Method of solving computing problems
traditional computing techniques, and has been efficiently solved by the use of fuzzy logic (which is a lateral computing technique).[citation needed] Lateral-computing
Lateral_computing
Process in software development
requirement specifications, genetic programming, linear programming, economic production models, soft computing, fuzzy logic modeling, statistical bootstrapping
Software development effort estimation
Software_development_effort_estimation
Task of finding records in a data set that refer to same entity across different sources
"coreference/entity/identity/name/record resolution", "entity disambiguation/linking", "fuzzy matching", "duplicate detection", "deduplication", "record matching", "(reference)
Record_linkage
Overview of and topical guide to control engineering
that result in system stability. Digital control Energy-shaping control Fuzzy control Hybrid control Intelligent control Model predictive control Multivariable
Outline of control engineering
Outline_of_control_engineering
diversity, the argument for a study in preventing premature convergence lacks robustness, unless specified what their definition of population diversity is. There
Premature_convergence
Methods in artificial intelligence research
computer programming, and algebra to school children. Inductive logic programming was another approach to learning that allowed logic programs to be synthesized
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Type of machine learning model
into other programming languages. They were originally used as a code completion tool, but advances have moved them towards automatic programming. Services
Large_language_model
Field of artificial intelligence
logic programming and Prolog, using SLD resolution to treat Horn clauses as goal-reduction procedures. The early development of logic programming was largely
Knowledge representation and reasoning
Knowledge_representation_and_reasoning
Family of large language models by Google
Developers. Retrieved June 24, 2026. ShieldGemma Team (2025). "ShieldGemma 2: Robust and Tractable Image Content Moderation". arXiv:2504.01081 [cs.CV]. Dora
Gemma_(language_model)
Numerical optimization algorithm
utilizes rank-based fitness shaping in order to render the algorithm more robust, and invariant under monotonically increasing transformations of the fitness
Natural_evolution_strategy
Reproductive success given genetic mutation
requires |journal= (help) Handa H (2006). Fitness function for finding out robust solutions on time-varying functions. Proceedings of the 8th annual conference
Effective_fitness
"For contributions to the theory of robust control" 2000 Ian R. Petersen "For contributions to the theory of robust control system design" 2000 Bruno Siciliano
List of fellows of IEEE Control Systems Society
List_of_fellows_of_IEEE_Control_Systems_Society
Method for bounding the errors of numerical computations
arithmetic can also be used with affiliation functions for fuzzy quantities as they are used in fuzzy logic. Apart from the strict statements x ∈ [x] and x
Interval_arithmetic
Israeli-born American entrepreneur
1109/3477.931523 Ramot D, Milo R, Friedman M, Kandel A. Complex fuzzy sets Ieee Transactions On Fuzzy Systems. 10: 171–186. doi:10.1109/91.995119 "Scholars 2004"
Daniel_Ramot
Computer model of genotype–phenotype maps
P. Rohlfshagen, X. Yao and A. Bender (2010). The role of degenerate robustness in the evolvability of multi-agent systems in dynamic environments. Parallel
Artificial_development
Analog watermarking and steganography system
quantization level available, and the desired trade-off between the required robustness and acceptable levels of psychoacoustic perceptibility. It is intended
Cinavia
Dynamical system that exhibits continuous and discrete dynamic behavior
other usages of "hybrid system", such as the combination neural nets and fuzzy logic, or of electrical and mechanical drivelines. A hybrid system has the
Hybrid_system
Data structure and types for evolutionary computation
In computer programming, genetic representation is a way of presenting solutions/individuals in evolutionary computation methods. The term encompasses
Genetic_representation
Machine learning algorithm
concepts of fuzzy set theory for the definition of a special version of decision tree, known as Fuzzy Decision Tree (FDT). In this type of fuzzy classification
Decision_tree_learning
Method of data analysis
Qifa (June 2005). "Robust L₁ Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming". 2005 IEEE Computer
Principal_component_analysis
Use of a GPU for computations typically assigned to CPUs
(2011). "Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support". 2011 IEEE
General-purpose computing on graphics processing units
General-purpose_computing_on_graphics_processing_units
Machine learning software library
to simplify and refactor the codebase of DistBelief into a faster, more robust application-grade library, which became TensorFlow. In 2009, the team, led
TensorFlow
Analysis of potential system failures
P. (2008). "On the use of fuzzy inference techniques in assessment models: part II: industrial applications" (PDF). Fuzzy Optimization and Decision Making
Failure mode and effects analysis
Failure_mode_and_effects_analysis
Dennis Ritchie (USA) co-created the C programming language, used extensively in low-level industrial programming and firmware. Radia Perlman (USA) invented
Industrial_data_processing
Integrated circuit technology
systems, implemented in analog, digital, or mixed-mode VLSI, prioritize robustness, adaptability, and learning by emulating the brain’s distributed processing
Neuromorphic_computing
Software agent which acts autonomously
vocabulary Friendly artificial intelligence Fuzzy agents – IA implemented with adaptive fuzzy logic GOAL agent programming language Hybrid intelligent system Intelligent
Intelligent_agent
Integrated development environment for the Android platform
allowing developers to tailor the IDE to their specific needs through a robust plugin ecosystem. Plugins can introduce new functionalities, integrate external
Android_Studio
Intelligence of machines
logic programming language Prolog, is Turing complete. Moreover, its efficiency is competitive with computation in other symbolic programming languages
Artificial_intelligence
Categorization of data using statistics
expression programming – Evolutionary algorithm Multi expression programming Linear genetic programming Kernel estimation – Concept in statisticsPages displaying
Statistical_classification
Type of large language model
include accuracy on standard datasets, as well as other features such as robustness, bias, and toxicity. These models are typically tested on tasks such as
Generative pre-trained transformer
Generative_pre-trained_transformer
English philosopher and academic (1945–2026)
Blackwell, 1993. Second edition, Prometheus Books 2009. Deviant Logic, Fuzzy Logic: Beyond the Formalism. The University of Chicago Press, 1996. (Extends
Susan_Haack
Computer approximation for real numbers
initially programming language implementations typically did not provide a means to access them (apart from assembler). Over time some programming language
Floating-point_arithmetic
Open-source 3D modelling software
Archived from the original on 18 August 2021. Retrieved 18 August 2021. "Fuzzy Boolean Operations - Forum Open Cascade Technology". dev.opencascade.org
Open_Cascade_Technology
Computational model used in machine learning
NNs serve as the learning component. Dynamic programming coupled with NNs (giving neurodynamic programming) has been applied to problems such as vehicle
Neural network (machine learning)
Neural_network_(machine_learning)
2022 video game
like Demon's Souls (2020), while Shacknews's TJ Denzer criticized the fuzzier visuals of Listen Mode. Critics praised the improved lighting system and
The_Last_of_Us_Part_I
complexity fuzzy decision tree model." India Conference (INDICON), 2009 Annual IEEE. IEEE, 2009. Lingala, Mounika; et al. (2014). "Fuzzy logic color
List of datasets in computer vision and image processing
List_of_datasets_in_computer_vision_and_image_processing
Use of digital logic devices to facilitate communication across languages
software or spreadsheet, a database created in a program such as FileMaker Pro or, for more robust (and more expensive) solutions, specialized software
Computer-assisted_translation
Series of language models developed by Google AI
Khandelwal, Urvashi; He, He; Qi, Peng; Jurafsky, Dan (2018). "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context". Proceedings of the 56th
BERT_(language_model)
Subfield of mathematics
logics in general, e.g. it does not encompass intuitionistic, modal or fuzzy logic. Lindström's theorem implies that the only extension of first-order
Mathematical_logic
Research field that lies at the intersection of machine learning and computer security
classifiers (such as support vector machines and neural networks) might be robust to adversaries, until Battista Biggio and others demonstrated the first
Adversarial_machine_learning
Subset of artificial intelligence
logic program that entails all positive and no negative examples. Inductive programming is a related field that considers any kind of programming language
Machine_learning
S2CID 6159346. A Practical Tutorial on Genetic Algorithm. Programming a genetic algorithm step by step. Fuzzy logic – article at Stanford Encyclopedia of Philosophy
BELBIC
Design, construction, use, and application of robots
advanced sensor fusion and control techniques, including adaptive control, fuzzy control and artificial neural network–based control. When implemented in
Robotics
Method of executing orders
Chutima (2014). "Price Pattern Detection Using Finite State Machine with Fuzzy Transitions". 2014 IEEE 11th International Conference on e-Business Engineering
Algorithmic_trading
Statistical method
be biased. In contrast to the sharp regression discontinuity design, a fuzzy regression discontinuity design (FRDD) does not require a sharp discontinuity
Regression discontinuity design
Regression_discontinuity_design
Urban development project in Toronto, Ontario, Canada
plan drew criticism, particularly over data privacy issues regarding the robust data collection in the proposed community. Alphabet cited economic concerns
Sidewalk_Toronto
Machine learning technique
"The Meta-Pi network: building distributed knowledge representations for robust multisource pattern recognition" (PDF). IEEE Transactions on Pattern Analysis
Mixture_of_experts
Free and open-source statistical program
Support Vector Machine Classification Clustering Density-Based Clustering Fuzzy C-Means Clustering Hierarchical Clustering Model-based clustering Neighborhood-based
JASP
technique (related to oblique factor analysis), as a clustering method (fuzzy clustering), as a feature selection method (e.g. as gene screening method)
Weighted correlation network analysis
Weighted_correlation_network_analysis
original on 30 November 2006. Retrieved 24 July 2007. Zadeh, Lotfi A., "Fuzzy Logic, Neural Networks, and Soft Computing," Communications of the ACM,
Timeline of artificial intelligence
Timeline_of_artificial_intelligence
Concept in probability
distribution to interval and fuzzy data. Pages 560–565 in Proceedings of the 26th International Conference of the North American Fuzzy Information Processing
Probability_box
Type of feedforward neural network
weight decay) or trimming connectivity (skipped connections, dropout, etc.) Robust datasets also increase the probability that CNNs will learn the generalized
Convolutional_neural_network
Metrics related to human characteristics
in schools European Association for Biometrics Fingerprint recognition Fuzzy extractor Gait analysis Government database Handwritten biometric recognition
Biometrics
Machine learning paradigm
Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo (April 2018). "Fast and robust segmentation of white blood cell images by self-supervised learning". Micron
Self-supervised_learning
Algorithmic technique using hashing
In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability
Locality-sensitive_hashing
Algorithm for modelling sequential data
Xu, Tao; Brockman, Greg; McLeavey, Christine; Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess
Transformer_(deep_learning)
Sauropod dinosaur genus from Late Jurassic period
the diplodocid family, differing from Diplodocus proper in primarily robustness in the cervical vertebrae and the leg bones. The cervical vertebrae of
Apatosaurus
Branch of mathematical logic
still proving T. One striking phenomenon in reverse mathematics is the robustness of the Big Five axiom systems. In order of increasing strength, these
Proof_theory
Deep learning method
adversarial learning based on neural networks was used in 2006 to train robust controllers in a game theoretic sense, by alternating the iterations between
Generative adversarial network
Generative_adversarial_network
contributions to the creation of the C++ programming language and its applications. 2005 Zhengyou Zhang For contributions to robust computer vision techniques. 2006
List of fellows of IEEE Computer Society
List_of_fellows_of_IEEE_Computer_Society
successor to Jabberwacky, now with 170m lines of conversation, Deep Context, fuzziness and parallel processing. Cleverbot learns from around 2 million user interactions
List of artificial intelligence projects
List_of_artificial_intelligence_projects
American consumer electronics company
long odds". EE Times. Retrieved May 19, 2025. "Motorola Mobility reports robust growth in last quarter, but predicts difficult times ahead". Engadget. January
Motorola_Mobility
Academic field
it has been argued that this can lead to "more socially intelligent and robust" science. One major shortcoming of deliberative democracy is that many models
Science and technology studies
Science_and_technology_studies
Class of artificial neural network
(DNCs) are an extension of neural Turing machines, allowing for the usage of fuzzy amounts of each memory address and a record of chronology. Neural network
Recurrent_neural_network
Branch of applied probability theory
there is a rule that is sometimes better and never worse. The proponents of fuzzy logic, possibility theory, Dempster–Shafer theory, and info-gap decision
Decision_theory
Inference seeking the simplest and most likely explanation
extended to modal logic. Abductive logic programming is a computational framework that extends normal logic programming with abduction. It separates the theory
Abductive_reasoning
System involved in supplying a product or service to a consumer
Fazel Zarandi, Mohammad M. Fazel Zarani and Soroosh Saghiri, Five crisp and fuzzy models for supply chain of an automotive manufacturing system, International
Supply_chain
Financial data concept and practice
important considerations regarding data privacy and security, which necessitate robust regulatory frameworks and security measures to protect consumer data. Open
Open_finance
Cloud-based document database service
Firestore from a mobile-backend-as-a-service (MBaaS) data store into a robust, enterprise-grade database, Google introduced several critical query, API
Firestore
Observed inability to reproduce scientific studies
and exposes questionable research practices, leading to more reliable and robust scientific conclusions. Irreproducible medical studies commonly share these
Replication_crisis
Machine learning technique
in their paper on InstructGPT. RLHF has also been shown to improve the robustness of RL agents and their capacity for exploration, which results in an optimization
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Probability distribution
logic for uncertain probabilities". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 9 (3): 279–311. doi:10.1142/S0218488501000831
Beta_distribution
Indian actress (1963–2018)
delivers "a performance that is nothing short of perfect [...] It's warm and fuzzy, and leaves you with a big smile on your face." "Sridevi doesn't miss a
Sridevi
American author, journalist and social activist (1876–1916)
1916, in a sleeping porch in a cottage on his ranch. London had been a robust man but had suffered several serious illnesses, including scurvy in the
Jack_London
Statistical concept
pattern. In fuzzy or soft segmentation, any pattern can have certain "ownership" over any single pixel. If the patterns are Gaussian, fuzzy segmentation
Mixture_model
Segmented database to aid translators
permissions. Fuzzy match When the match is not exact, it is a "fuzzy" match. Some systems assign percentages to these kinds of matches, in which case a fuzzy match
Translation_memory
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING
ROBUST FUZZY-PROGRAMMING