This paper presents some results about the laws of excluded middle and contradiction of classical logic in fuzzy logic because in the latter, in general, are not satisfied. The aim is to present conditions under which...
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Karnik-Mendel algorithms always present two independent procedures for computing the generalized centroid of an interval type-2 fuzzy set: the first one for computing its left part (which is denoted by cl), and the se...
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This paper presents the SEPELYNS architecture that permits to interconnect multiple spiking neurons focused on hardware implementations. SEPELYNS can connect millions of neurons with thousands of synapses per neuron i...
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作者：
García, Juan Carlos FigueroaLaboratory for Automation
Microelectronics and Computational Intelligence and Mathematical Modeling Applied to Industry Universidad Distrital Francisco José de Caldas Bogotá Colombia
This paper presents a model for mixed production planning with fuzzy demands and fuzzy time activities. The proposed methodology is based on an iterative algorithm which uses-cuts and the cumulative membership functio...
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This paper presents some results about the laws of excluded middle and contradiction of classical logic in fuzzy logic because in the latter, in general, are not satisfied. The aim is to present conditions under which...
详细信息
This paper presents some results about the laws of excluded middle and contradiction of classical logic in fuzzy logic because in the latter, in general, are not satisfied. The aim is to present conditions under which these two laws as limit values are met with the correct choice of the fuzzy logical connectors.
Karnik-Mendel algorithms always present two independent procedures for computing the generalized centroid of an interval type-2 fuzzy set: the first one for computing its left part (which is denoted by c l ), and the ...
Karnik-Mendel algorithms always present two independent procedures for computing the generalized centroid of an interval type-2 fuzzy set: the first one for computing its left part (which is denoted by c l ), and the second one for computing its right part (which is denoted by c r ). This paper presents a simple discussion where we show that the calculation of c l and c r is really the same problem and not two different problems.
作者：
Juan Carlos Figueroa GarcíaLaboratory for Automation
Microelectronics and Computational Intelligence (LAMIC) and Mathematical Modeling Applied to Industry (MMAI) Universidad Distrital Francisco José de Caldas Bogota Colombia
This paper presents a model for mixed production planning with fuzzy demands and fuzzy time activities. The proposed methodology is based on an iterative algorithm which uses α-cuts and the cumulative membership func...
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This paper presents a model for mixed production planning with fuzzy demands and fuzzy time activities. The proposed methodology is based on an iterative algorithm which uses α-cuts and the cumulative membership function, dealing with nonlinear parameters.
This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α-cuts done over its primary membership functions. The definition of available Type-reduction methods for Interval Type-2 f...
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This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α-cuts done over its primary membership functions. The definition of available Type-reduction methods for Interval Type-2 fuzzy sets are based on an homogeneous subdivision of the universe of discourse, so we propose an approximation algorithm for Type-reduction of an Interval type-2 fuzzy set through its primary α-cuts. Some definitions about the α-cut of a Type-2 fuzzy set are provided and used for computing the centroid of an Interval Type-2 fuzzy set through a mapping of its membership function, instead of its universe of discourse.
This paper presents a particular case for a possible approach to coevolutionary interval type-2 fuzzy modeling. Some principles derived from a well-founded coevolutionary method for type one fuzzy systems are used and...
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This paper presents a particular case for a possible approach to coevolutionary interval type-2 fuzzy modeling. Some principles derived from a well-founded coevolutionary method for type one fuzzy systems are used and...
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This paper presents a particular case for a possible approach to coevolutionary interval type-2 fuzzy modeling. Some principles derived from a well-founded coevolutionary method for type one fuzzy systems are used and other rising questions about the application of coevolution to type-2 fuzzy systems are proposed. A benchmark problem related to design interval type-2 fuzzy time forecasters for time series prediction is treated by means of cooperative coevolution. Statistical results show that interval type-2 fuzzy systems working as evolvable individuals could be appropriated for evolutionary fuzzy modeling, since better and more stable solutions are found in comparison to type-1 fuzzy systems.
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