We introduce interval-valued restricted equivalence functions as a way of measur- ing the equivalence between the intervals associated to different pix- els. We ...

In this work we use interval-valued fuzzy sets in the Fuzzy C-Means algorithm for image segmentation. We introduce interval-valued restricted equivalence ...

Bibliographic details on Interval-Valued Restricted Equivalence Functions Applied on Clustering Techniques.

Mar 9, 2021 · A new concept of equivalence between intervals and the induced indistinguishability between interval-valued (IV) fuzzy sets are proposed and considered.

In this paper we define a new learning methodology that avoids building the initial fuzzy classifier but directly learns interval-valued fuzzy rules.

Melo-Pinto, Interval-valued restricted equivalence functions applied on clustering techniques, Proceedings of the Joint 2009, International Fuzzy Systems ...

Interval-Valued Restricted Equivalence Functions Applied on Clustering Techniques. A Jurio, M Pagola, D Paternain, C Lopez-Molina, P Melo-Pinto. IFSA/EUSFLAT ...

Interval-Valued Fuzzy Sets handle uncertainty and vagueness effectively. These features are partic- ularly useful for clustering. In this paper it is.

In this work we associate an Interval-Valued Fuzzy Set with an image, so that the membership of ecah pixel represents the intensities of itself and its ...

Jul 15, 2022 · This paper proposes partitioning clustering algorithms for interval-valued data based on adaptive Euclidean and City-Block distances.