A heuristic algorithm of possibilistic clustering with partial supervision for classification of the intuitionistic fuzzy data

Jan W. Owsiński; Janusz Kacprzyk; Stanislau Shyrai; Eulalia Szmidt; Dmitri A. Viattchenin; Jorge Hernandez Hormazabal

A heuristic algorithm of possibilistic clustering with partial supervision for classification of the intuitionistic fuzzy data

Jan W. Owsiński, Janusz Kacprzyk, Stanislau Shyrai, Eulalia Szmidt, Dmitri A. Viattchenin, Jorge Hernandez Hormazabal

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

The paper deals with the problem of clustering of intuitionistic fuzzy data. A modification of a heuristic algorithm of possibilistic clustering for intuitionistic fuzzy data that account for the information coming from the labeled objects is proposed. The paper describes the basic ideas of the method and gives the plan of the partially supervised version of a direct possibilistic clustering algorithm. Illustrative examples of application of the method to two intuitionistic fuzzy data sets are provided. Preliminary conclusions are formulated and some perspectives outlined, notably for the analysis of agricultural value chain.

Idioma original	Inglés
Páginas (desde-hasta)	399-423
Número de páginas	25
Publicación	Journal of Multiple-Valued Logic and Soft Computing
Volumen	31
N.º	4
Estado	Publicada - 2018
Publicado de forma externa	Sí

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title = "A heuristic algorithm of possibilistic clustering with partial supervision for classification of the intuitionistic fuzzy data",

abstract = "The paper deals with the problem of clustering of intuitionistic fuzzy data. A modification of a heuristic algorithm of possibilistic clustering for intuitionistic fuzzy data that account for the information coming from the labeled objects is proposed. The paper describes the basic ideas of the method and gives the plan of the partially supervised version of a direct possibilistic clustering algorithm. Illustrative examples of application of the method to two intuitionistic fuzzy data sets are provided. Preliminary conclusions are formulated and some perspectives outlined, notably for the analysis of agricultural value chain.",

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year = "2018",

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A heuristic algorithm of possibilistic clustering with partial supervision for classification of the intuitionistic fuzzy data. / Owsiński, Jan W.; Kacprzyk, Janusz; Shyrai, Stanislau et al.
En: Journal of Multiple-Valued Logic and Soft Computing, Vol. 31, N.º 4, 2018, p. 399-423.

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

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AU - Owsiński, Jan W.

AU - Kacprzyk, Janusz

AU - Shyrai, Stanislau

AU - Szmidt, Eulalia

AU - Viattchenin, Dmitri A.

AU - Hormazabal, Jorge Hernandez

PY - 2018

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KW - Allotment among intuitionistic fuzzy clusters

KW - Clustering

KW - Intuitionistic fuzzy set

KW - Intuitionistic fuzzy tolerance

KW - Labeled object

KW - Membership degree

KW - Nonmembership degree

KW - Partial supervision

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A heuristic algorithm of possibilistic clustering with partial supervision for classification of the intuitionistic fuzzy data

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