General fuzzy decision systems
Generalization of pattern recognition method in experiment analysis
Generalizations of Boolean algebras. An attribute exploration
Generalizations of the noisy-or model
In this paper, we generalize the noisy-or model. The generalizations are three-fold. First, we allow parents to be multivalued ordinal variables. Second, parents can have both positive and negative influences on their common child. Third, we describe how the suggested generalization can be extended to multivalued child variables. The major advantage of our generalizations is that they require only one parameter per parent. We suggest a model learning method and report results of experiments on the...
Generalized Hamiltonian biodynamics and topology invariants of humanoid robots.
Generalized Jensen difference based on entropy functions
Generalized Möbius transformation of knowledge bases
Möbius transformation is an important tool for establishing weights of compositional expert systems rules from conditional weights. In this paper, an applicability of Möbius transformation of rule bases is also extended to knowledge bases with elementary disjunctions in antecedents of rules. This paper contains an existence theorem, an algorithm of the transformation and some open problems which tend to maximal generality as well.
Generated fuzzy implications and fuzzy preference structures
The notion of a construction of a fuzzy preference structures is introduced. The properties of a certain class of generated fuzzy implications are studied. The main topic in this paper is investigation of the construction of the monotone generator triplet , which is the producer of fuzzy preference structures. Some properties of mentioned monotone generator triplet are investigated.
Genetic algorithm based approach to bi-level linear programming
Genetic algorithm for combinatorial path planning: the subtour problem.
Genetické algoritmy: nic pro biology
Geometric problems in computerized preoperational planning of a robot assisted total knee replacement.
Global optimization by artificial life : a new technique using genetic population evolution
Graphical models for hierarchical computations in the analysis and design of replications.
Gröbner bases in geometry theorem proving and simplest degeneracy conditions.
Grounding and extracting modal responses in cognitive agents: 'AND' query and states of incomplete knowledge
In this study an original way of modeling language grounding and generation for a simple set of language responses is presented. It is assumed that the language is used by a cognitive agent and consists of a few modal belief and possibility formulas that are used by this agent to communicate its opinions on the current state of an object. The cognitive agent is asked a simple AND query and the language is tailored to this situation. The agent's knowledge bases are characterized by certain incompleteness...
GTES : une méthode de simulation par jeux et apprentissage pour l'analyse des systèmes d'acteurs
Cet article décrit une approche de la modélisation d'un système d'acteurs, particulièrement adaptée à la modélisation des entreprises, fondée sur la théorie des jeux [11] et sur l'optimisation par apprentissage du comportement de ces acteurs. Cette méthode repose sur la combinaison de trois techniques : la simulation par échantillonnage (Monte-Carlo), la théorie des jeux pour ce qui concerne la recherche d'équilibre entre les stratégies, et les méthodes heuristiques d'optimisation locale,...
Guest Editorial: Fuzzy logic and soft computing in an effective and efficient processing of imperfect information - in memoriam Ashley Morris
Guest Editors' Introduction
GUHA - metoda systematického vyhledávání hypotéz