Searching for a consensus similarity function for generalized trapezoidal fuzzy numbers

Autor: Vicente Cestero, Eloy, Mateos Caballero, Alfonso, Jiménez Martín, Antonio
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Decision Making and Soft Computing | The 11th International FLINS Conference on Decision Making and Soft Computing (FLINS2014) | 17-20 aug 2014 | Joao Pessoa, Brasil
Archivo Digital UPM
Universidad Politécnica de Madrid
Popis: There is controversy regarding the use of the similarity functions proposed in the literature to compare generalized trapezoidal fuzzy numbers since conflicting similarity values are sometimes output for the same pair of fuzzy numbers. In this paper we propose a similarity function aimed at establishing a consensus. It accounts for the different approaches of all the similarity functions. It also has better properties and can easily incorporate new parameters for future improvements. The analysis is carried out on the basis of a large and representative set of pairs of trapezoidal fuzzy numbers.
Databáze: OpenAIRE