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

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	399-423
Number of pages	25
Journal	Journal of Multiple-Valued Logic and Soft Computing
Volume	31
Issue number	4
State	Published - 2018
Externally published	Yes

Keywords

Agricultural value chan
Allotment among intuitionistic fuzzy clusters
Clustering
Intuitionistic fuzzy set
Intuitionistic fuzzy tolerance
Labeled object
Membership degree
Nonmembership degree
Partial supervision

Cite this

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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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AU - Shyrai, Stanislau

AU - Szmidt, Eulalia

AU - Viattchenin, Dmitri A.

AU - Hormazabal, Jorge Hernandez

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KW - Agricultural value chan

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

Abstract

Keywords

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