Palabras claves:Programación lineal difusa, Conjuntos difusos Tipo-2 de intervalo, Programación por metas.ĭecision making in practical applications faces multiple issues, including human being interaction and social behavior. Así pues, proponemos una aproximación al modelado de este tipo de problemas utilizando conjuntos difusos de Intervalo Tipo-2, y un método sencillo para encontrar soluciones usando métodos propuestos por otros autores para conjuntos difusos clásicos. En problemas de metas que no tienen información estadística adecuada para definir los valores meta, el uso de información proveniente de expertos se convierte en la última fuente confiable de información. Key words: fuzzy linear programming, Interval Type-2 fuzzy sets, Goal programmingĮste trabajo presenta un acercamiento a la solución de problemas de programación por metas que incluyen la opinión y percepión de múltiples expertos. This way, we propose an approach to model this kind of goals using Interval Type-2 fuzzy sets, and a simple method for finding an optimal solution based on previous methods that have been proposed for classical fuzzy sets. In goal programming problems where no statistical data about their goals exist, the use of information coming from experts becomes the last reliable source. This paper presents a proposal for solving goal problems involving multiple experts opinions and perceptions. Universidad Distrital Francisco José de Caldas. Applied Mathematical Modelling, 37(7):4948–4971, 2013.Īn approach for solving Goal Programming problems using Interval Type-2 fuzzy goals A novel approach to multi attribute group decision making based on trapezoidal interval type-2 fuzzy soft sets. Fuzzy programming with nonlinear membership functions: piecewise linear approximation.
Taeyong Yang, James P Ignizio, and Hyun-Joon Kim. A new cluster validity measure basedon general type-2 fuzzy sets: Application in gene expression data clustering.
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