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Fuzzy rules

Fuzzy rules model for global warming decision suport

Fuzzy rules model for global warming decision suport

... as fuzzy logic sets. The main goal of this research is to use the fuzzy inductive reasoning (FIR) methodology and an extension of it, named LR-FIR (Linguistic rules in FIR), to obtain fuzzy ...

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Tema 5 - Logica Difusa.pdf

Tema 5 - Logica Difusa.pdf

...  Database – defines membership functions of fuzzy sets used in the fuzzy rules..  Decision-making unit – performs inference operations on the rules.[r] ...

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Evolution of recurrent fuzzy controllers

Evolution of recurrent fuzzy controllers

... genetic fuzzy systems [2], the incorporation of previous knowledge (knowledge insertion) consists in the definition of fuzzy sets for the input variables and fuzzy ...for fuzzy systems is the ...

5

Fuzzy Approach to the Management of the Environmental

Fuzzy Approach to the Management of the Environmental

... the Fuzzy Logic for the extraction of Fuzzy ...find Fuzzy Rules from numeric examples, using the proposed algorithm by Wang & Mendel, and the proposed algorithm by Cordón y ...founded ...

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New Advances on Modelling Control Processes applied to the Detection of Train Operations

New Advances on Modelling Control Processes applied to the Detection of Train Operations

... Initial phase implies an intensive search, using genetic algorithms, to optimize the fuzzy rules bases for each one of the control component (central and elemental modules) according [r] ...

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Robot arm fuzzy control by a neuro-genetic algorithm

Robot arm fuzzy control by a neuro-genetic algorithm

... complete fuzzy rule base from scratch, and to dene the number and shape of the membership functions of the output ...some rules and some membership functions that are obvious and can be dened ...of ...

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Multidimensional membership functions in T–S fuzzy models for modelling and identification of nonlinear multivariable systems using genetic algorithms

Multidimensional membership functions in T–S fuzzy models for modelling and identification of nonlinear multivariable systems using genetic algorithms

... It is verified that the fuzzy inference method of one-dimensional membership functions (lDMFs) may place the fuzzy rules in inappropriate locations for modelling of nonlinear multivari[r] ...

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Variable structure control with chattering reduction of a generalized T-S model

Variable structure control with chattering reduction of a generalized T-S model

... The authors in [6] use a fuzzy clustering method to identify T-S fuzzy models, including identification of the number of fuzzy rules and parameters of fuzzy MFs, and identification of[r] ...

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Diseño simplificado de controladores fuzzy MIMO con estructuras fuzzy SISO

Diseño simplificado de controladores fuzzy MIMO con estructuras fuzzy SISO

... controlador fuzzy MIMO puede ser complicado por las implicancias que tiene relacionar todas las variables de entrada y de salida ...controlador fuzzy SISO propuesto resulta bastante simple y requiere un ...

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A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard

A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard

... following fuzzy clustering algorithms were applied to this subset: Fuzzy C-Means (FCM), Possibilistic C-Means (PCM), Fuzzy Pos- sibilistic C-Means (FPCM), Robust Fuzzy Possibilistic C-Means ...

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Ranking Alternatives on the Basis of the Intensity of Dominance and Fuzzy Logic within MAUT

Ranking Alternatives on the Basis of the Intensity of Dominance and Fuzzy Logic within MAUT

... scribed by fuzzy numbers. The method is based on the distance of a fuzzy number. to a constant, where the generalization of the left and right fuzzy numbers, GLRFN,[r] ...

15

Fuzzy strict preference relations compatible with fuzzy orderings

Fuzzy strict preference relations compatible with fuzzy orderings

... of fuzzy preference modelling is the con- struction of a fuzzy strict preference relation and a fuzzy indifference relation from a fuzzy weak preference ...of fuzzy weak prefer- ence ...

12

D-rules: learning & planning

D-rules: learning & planning

... decomposition rules, also called d-rules, i.e., given some examples learn rules that guide the planning process, in new problems, by determining what operators are to be included in the solution ...

11

An Introduction to Software Architecture

An Introduction to Software Architecture

... This is the software architecture level of design. There is a considerable body of work on this topic, including module interconnection languages, templates and frameworks for systems that serve the needs of specific ...

42

Allocation rules on networks

Allocation rules on networks

... Bochet et al. (2010) study the egalitarian rule for allocation problems on net- works, which they characterize with Pareto optimality, equal treatment of equals and strategy-proofness. Their egalitarian rule is an ...

18

Generación de una Base de Reglas de Control "Fuzzy" de un Vehículo, Usando Datos Numéricos

Generación de una Base de Reglas de Control "Fuzzy" de un Vehículo, Usando Datos Numéricos

... Paso 5. Determinar un Mapeo Basado en la Base de Reglas Combinadas. Usando la estrategia de desfuzzificación, se obtiene la sa- lida de control θ para las entradas (x,φ) . Primero, dadas las entradas (x,φ) , se combinan ...

9

The correct application of rules to modify children’s behavior

The correct application of rules to modify children’s behavior

... To carry out this research it was necessary to ask the school director for permission to take pictures, record audio tracks and take a video, during the English classes. The purpose of the research and the reason to do ...

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Multi-argument fuzzy measures on lattices of fuzzy sets

Multi-argument fuzzy measures on lattices of fuzzy sets

... Therefore Mu is an n-increasing multi-argument fuzzy measure on ^(X). M u provides an estimate of the relative size, compared with the universal set, of the union of any finite famil[r] ...

13

On the notion of fuzzy adjunctions between fuzzy orders

On the notion of fuzzy adjunctions between fuzzy orders

... A number of different approaches to the notion of fuzzy function can be found in the literature. The main problem with the definition resides in that the fuzziness of the function would imply that the function ...

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