Hernandez Hormazabal, JE

KACPRZYK, JANUSZ

OWSINSKI, JANW

STANISLAU, SHYRAI

SZMIDT, EULALIA

VIATTCHENIN, DMITRIA

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

Owsiński, JW

Kacprzyk, J

Shyrai, S

Szmidt, E

Viattchenin, DA

Hormazabal, JH

University of Liverpool Repository

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

http://livrepository.liverpool.ac.uk/3032674/1/MVLSC-D552_V1-1%5B5%5D.pdf

A Heuristic Algorithm of Possibilistic Clustering with Partial Supervision for Classification of the Intuitionistic Fuzzy Data

A Heuristic Algorithm of Possibilistic Clustering with Partial Supervision for Classification of the Intuitionistic Fuzzy Data

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