Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Mathematical logic --- Ensembles flous --- Fuzzy sets --- Vage verzamelingen --- Fuzzy sets.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Ensembles flous --- Fuzzy sets --- Game theory --- Jeux [Théorie des ] --- Speltheorie --- Théorie des jeux --- Vage verzamelingen --- Game theory. --- Fuzzy sets. --- Théorie des jeux

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Ensembles flous --- Expert systems (Computer science) --- Expertsystemen (Informatica) --- Fuzzy sets --- Fuzzy systems --- Systemen [Vage ] --- Systemes flous --- Systems [Fuzzy ] --- Systèmes experts (Informatique) --- Vage systemen --- Vage verzamelingen --- Fuzzy systems. --- Systèmes flous --- Systèmes flous --- Stochastic processes --- Mathematical logic --- Measure theory. Mathematical integration --- Fuzzy sets. --- Expert systems (Computer science). --- Systèmes experts (Informatique) --- Systèmes experts (informatique) --- Systèmes flous. --- Ensembles flous.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In recent years, an impetuous development of new, unconventional theories, methods, techniques and technologies in computer and information sciences, systems analysis, decision-making and control, expert systems, data modelling, engineering, etc. , resulted in a considerable increase of interest in adequate mathematical description and analysis of objects, phenomena, and processes which are vague or imprecise by their very nature. Classical two-valued logic and the related notion of a set, together with its mathematical consequences, are then often inadequate or insufficient formal tools, and can even become useless for applications because of their (too) categorical character: 'true - false', 'belongs - does not belong', 'is - is not', 'black - white', '0 - 1', etc. This is why one replaces classical logic by various types of many-valued logics and, on the other hand, more general notions are introduced instead of or beside that of a set. Let us mention, for instance, fuzzy sets and derivative concepts, flou sets and twofold fuzzy sets, which have been created for different purposes as well as using distinct formal and informal motivations. A kind of numerical information concerning of 'how many' elements those objects are composed seems to be one of the simplest and more important types of information about them. To get it, one needs a suitable notion of cardinality and, moreover, a possibility to calculate with such cardinalities. Unfortunately, neither fuzzy sets nor the other nonclassical concepts have been equipped with a satisfactory (nonclassical) cardinality theory.

Cardinal numbers. --- Fuzzy sets. --- Many-valued logic. --- Cardinal numbers --- Ensembles flous --- Fuzzy sets --- Hoofdtelwoorden --- Logic [Many-valued ] --- Logic [Multivalued ] --- Logic [Variable-valued ] --- Many-valued logic --- Multivalued logic --- Nombres cardinaux --- Vage verzamelingen --- Variable-valued logic --- Mathematics. --- Operations research. --- Decision making. --- Computer science. --- Artificial intelligence. --- Mathematical logic. --- Mathematical Logic and Foundations. --- Operation Research/Decision Theory. --- Computer Science, general. --- Artificial Intelligence (incl. Robotics). --- Logic, Symbolic and mathematical. --- Operations Research/Decision Theory. --- Artificial Intelligence.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Artificial intelligence. Robotics. Simulation. Graphics --- Computer architecture. Operating systems --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Artificial intelligence --- Expert systems (Computer science) --- Fuzzy systems --- Neural networks (Computer science) --- 681.3*I26 --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Computer systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence. --- Intelligence artificielle --- Systèmes experts (Informatique) --- Systèmes flous --- Réseaux neuronaux (Informatique) --- Expert systems (Computer science). --- Fuzzy systems. --- Neural networks (Computer science). --- Neurale netwerken. --- Vage systemen. --- Vage verzamelingen. --- Monograph --- Systèmes flous --- Reseaux neuronaux