Metodología para el Diseño de Conjuntos Difusos Tipo-2 a partir de Opiniones de Expertos
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Universidad Distrital Francisco José de Caldas
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ResumenContexto: Existe una creciente necesidad de procesar la información proveniente del lenguaje humano, la cual incluye incertidumbre, con el fin solucionar problemas definidos en un determinado contexto.Método: Empleamos conjuntos difusos Tipo-2 a fin de representar y cuantificar el lenguaje humano, para lo cual presentamos una serie de aspectos metodológicos para su diseño. La propuesta se compone de tres actividades clave: (1) determinar la etiqueta lingüística (palabra), (2) definir su función de pertenencia y (3) recolectar la información desde los expertos.Resultados: Se aplica y valida la propuesta en un escenario real basado en conjuntos triangulares a través de la comparación de dos grupos de expertos. Se modela, procesa y analiza la información de entrada permitiendo hacer un manejo adecuado a la incertidumbre implícita en sus opiniones.Conclusiones: La metodología propuesta es aplicable a diferentes situaciones, donde múltiples sujetos expresan su opinión o percepción que manifiestan alrededor de determinado problema.
Context: There is a need for processing information coming from human like language thatincludes uncertainty in order to solve problems defined in that context.Method: We use Type-2 fuzzy sets for defining and measuring human like language, so wepropose a methodology for designing them. The proposal is composed by three key steps:(1) defining a linguistic label (word), (2) defining its membership function, and (3) collectinginformation from experts.Results: The proposal is applied and validated in a real scenario based on triangular fuzzysets through two different groups of experts. We present a proposal to model, process andanalyze input information coming from experts that allows to do an appropriate handling ofuncertainty present in people perceptions.Conclusions: The proposed methodology is applicable to different problems where differentpeople express their opinions and/or perceptions about a specific problem.
Context: There is a need for processing information coming from human like language thatincludes uncertainty in order to solve problems defined in that context.Method: We use Type-2 fuzzy sets for defining and measuring human like language, so wepropose a methodology for designing them. The proposal is composed by three key steps:(1) defining a linguistic label (word), (2) defining its membership function, and (3) collectinginformation from experts.Results: The proposal is applied and validated in a real scenario based on triangular fuzzysets through two different groups of experts. We present a proposal to model, process andanalyze input information coming from experts that allows to do an appropriate handling ofuncertainty present in people perceptions.Conclusions: The proposed methodology is applicable to different problems where differentpeople express their opinions and/or perceptions about a specific problem.
Palabras clave
uncertainty, perception, information, language, Type-2 fuzzy sets, conjuntos difusos Tipo-2, incertidumbre, percepción, información, lenguaje