Compositions of Picture Fuzzy Relations with Application in Decision Making

Autor: Mohammad Kamrul Hasan, Abeda Sultana, Nirmal Kanti Mitra
Rok vydání: 2023
Zdroj: European Journal of Mathematics and Statistics. 4:19-28
ISSN: 2736-5484
DOI: 10.24018/ejmath.2202.4.2.188
Popis: Picture fuzzy relation is an important and powerful concept which is suitable for describing correspondences between objects. It represents the strength of association of the elements of picture fuzzy sets. In this paper we have defined min-max composition for picture fuzzy relations and some properties are explored based on this definition. Also we have discussed some properties of max-min composition for picture fuzzy relations. Finally, an application is discussed as illustration to show how the picture fuzzy relation are applied in decision making.
Databáze: OpenAIRE