Research Article

Intuitionistic Heuristic Prototype-based Algorithm of Possibilistic Clustering

by  Dmitri A. Viattchenin, Stanislau Shyrai
journal cover
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Issue 8
Published: May 2015
Authors: Dmitri A. Viattchenin, Stanislau Shyrai
10.5120/cae-1629
PDF

Dmitri A. Viattchenin, Stanislau Shyrai . Intuitionistic Heuristic Prototype-based Algorithm of Possibilistic Clustering. Communications on Applied Electronics. 1, 8 (May 2015), 30-40. DOI=10.5120/cae-1629 

                        @article{ 10.5120/cae-1629,
                        author  = { Dmitri A. Viattchenin,Stanislau Shyrai },
                        title   = { Intuitionistic Heuristic Prototype-based Algorithm of Possibilistic Clustering },
                        journal = { Communications on Applied Electronics },
                        year    = { 2015 },
                        volume  = { 1 },
                        number  = { 8 },
                        pages   = { 30-40 },
                        doi     = { 10.5120/cae-1629 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Dmitri A. Viattchenin
                        %A Stanislau Shyrai
                        %T Intuitionistic Heuristic Prototype-based Algorithm of Possibilistic Clustering%T 
                        %J Communications on Applied Electronics
                        %V 1
                        %N 8
                        %P 30-40
                        %R 10.5120/cae-1629
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduces a novel intuitionistic fuzzy set-based heuristic algorithm of possibilistic clustering. For the purpose, some remarks on the fuzzy approach to clustering are discussed and a brief review of intuitionistic fuzzy set-based clustering procedures is given, basic concepts of the intuitionistic fuzzy set theory and the intuitionistic fuzzy generalization of the heuristic approach to possibilistic clustering are considered, a general plan of the proposed clustering procedure is described in detail, two illustrative examples confirm good performance of the proposed algorithm, and some preliminary conclusions are formulated.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Intuitionistic Fuzzy Set Possibilistic Clustering Allotment among Intuitionistic Fuzzy Clusters Typical Point.

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