fuzzy inference
A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
... alternative fuzzy inference model capable of handling fuzzy knowledge for fish-disease diagnostic problem solving is proposed, and the corresponding algorithms based the sequence of obtaining ...
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Immediate water quality assessment in shrimp culture using fuzzy inference systems
... a fuzzy inference system based on a reasoning process, which involves aquaculture criteria established by official organizations and researchers for assessing water quality by analyzing the main factors that ...
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PROPUESTAS PARA MEJORAR EL PRONÓSTICO DE LA INFLACIÓN EN PAÍSES LATINOAMERICANOS MEDIANTE EL USO DE MODELOS HÍBRIDOS QUE MEZCLAN "FUZZY INFERENCE SYSTEM", MODELO AUTORREGRESIVO DE MEDIA MÓVIL Y DESCOMPOSICIÓN DE WAVELET
... modelo fuzzy inference system y el modelo económetrico Autoregresivo de medias móviles ...modelo Fuzzy Inference System- AutoRegressive Moving Average model, pero este utiliza variables de ...
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Predicting the risk of fault-induced water inrush using the adaptive neuro-fuzzy inference system
... Abstract: Sudden water inrush has been a deadly killer in underground engineering for decades. Currently, especially in developing countries, frequent water inrush accidents still kill a large number of miners every ...
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Tuning Up Fuzzy inference systems by using optimization algorithms for the classification of solar flares
... of fuzzy rules, a data base that defines the membership functions of the fuzzy sets used in fuzzy rules, the fuzzy inference engine, the fuzzifier and defuzzifier ...a fuzzy ...
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PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND FUZZY INFERENCE SYSTEMS FOR PREDICTING CONCRETE COMPRESSIVE STRENGTH
... However, fuzzy set theory, a novel theory, is being explored for predicting new observations based on experimental input – output ...utilizes fuzzy set theory to develop prediction models for estimating ...
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PRONOSTICO DEL CONSUMO ENERGETICO DE LARGO PLAZO EN LOS EE.UU. MEDIANTE ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM)
... Con respecto a los métodos o modelos anteriormente mencionados, los Algoritmos Genéticos (GA) son utilizados para optimización, en particular para este tipo de problemas de pronósticos s[r] ...
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PROPUESTAS PARA LA PREDICCIÓN DEL SOBREENDEUDAMIENTO EN HOGARES DE CHILE MEDIANTE EL USO DE UN MODELO HÍBRIDO QUE MEZCLA "ARTIFICIAL NEURO FUZZY INFERENCE SYSTEM" Y MODELO PROBIT
... El aumento en los niveles de deuda de las familias de distintas partes del mundo ha atraído la atención de organizaciones locales y mundiales dedicadas a la prevención de riesgos financieros, y ha intensificado el ...
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Assessment and prediction of air quality using fuzzy logic and autoregressive models
... There are several models for air quality assessment. However, most of these models assess immediate measurements averaging frequently measured parameters without any previous treatment of the information. We can ...
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ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
... of fuzzy IF-THEN rules for each variable is essential to achieve good estimates during ...of fuzzy rules is related to input variables to MF's and is called premise or antecedent; the “ THEN ” part, which ...
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A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand
... As a guideline for future research, it is interesting to improve the fuzzy inference engine, since the used in this test was quite simple. Here, other sources of information can be incorporated without ...
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Un estudio comparativo entre ANFIS, ANNs y SONFIS para series temporales volátiles
... Abstract. This paper presents a comparison among ANFIS, ANNs, and a Self Organized Neuro Fuzzy Inference System (SONFIS) for time se- ries prediction. The Turkish stock index (ISE) series is analyzed using ...
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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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A review of artificial intelligent approaches applied to part accuracy prediction
... the fuzzy inference systems are defined by the expert machinist in order to incorporate expert knowledge into the ...the fuzzy system. For this purpose, the fuzzy rules can be extracted from ...
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Generación de una Base de Reglas de Control "Fuzzy" de un Vehículo, Usando Datos Numéricos
... Paso 4. Crear una Base de Re- glas fuzzy Combinada. En las tablas (1 a 14) se encuentran las bases de reglas fuzzy generadas. Los cuadros se llenan con las reglas fuzzy generadas de acuerdo a ...
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A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard
... 1. R. Babuka, P.J. van der Veen, and U. Kaymak. Improved covariance estimation for gustafson-kessel clustering. In Fuzzy Systems, 2002. FUZZ-IEEE’02. Proceedings of the 2002 IEEE International Conference on, ...
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On the notion of fuzzy adjunctions between fuzzy orders
... A fuzzy order is understood as a fuzzy relation satisfying reflexivity, antisymmetry and ...a fuzzy setting, reflexivity and antisymmetry are conflicting properties [3] and some authors [5] opted for ...
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Fuzzy strict preference relations compatible with fuzzy orderings
... the fuzzy strict preference relations compatible with a given fuzzy partial order ...a fuzzy partial order rela- tion proposed by H¨ ohle and Blanchard 12 , also called fuzzy ...
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Diseño simplificado de controladores fuzzy MIMO con estructuras fuzzy SISO
... controlador fuzzy MIMO con bloques SISO respecto de su equivalente fuzzy MIMO estándar, que requiere de un conocimiento experto del sistema controlado para configurar la base de ...reglas fuzzy ...
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Ecient Inference-aware RDB2RDF Query Rewriting
... The generation of the datalog program in REQUIEM is performed through satu- ration. In the saturation phase some clauses that will need to be pruned later are still kept so that they can be used in the inferences. For ...
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