Geodesic
Convexity of hesitant fuzzy sets based on aggregation functions
Computer Science and Information Systems, Tome 18 (2021) no. 1.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

Convexity is one of the most important geometric properties of sets and a useful concept in many fields of mathematics, like optimization. As there are also important applications making use of fuzzy optimization, it is obvious that the studies of convexity are also frequent. In this paper we have extended the notion of convexity for hesitant fuzzy sets in order to fulfill some necessary properties. Namely, we have found an appropriate definition of convexity for hesitant fuzzy sets on any ordered universe based on aggregation functions such that it is compatible with the intersection, that is, the intersection of two convex hesitant fuzzy sets is a convex hesitant fuzzy set and it fulfills the cutworthy property.
Keywords: hesitant fuzzy set, alpha-cut, aggregation function, convexity 
@article{CSIS_2021_18_1_a11,
     author = {Pedro Huidobro and Pedro Alonso and Vladim{\'\i}r Jani\v{s} and Susana Montes},
     title = {Convexity of hesitant fuzzy sets based on aggregation functions},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {18},
     number = {1},
     year = {2021},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a11/}
}
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Pedro Huidobro; Pedro Alonso; Vladimír Janiš; Susana Montes. Convexity of hesitant fuzzy sets based on aggregation functions. Computer Science and Information Systems, Tome 18 (2021) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a11/