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

被引：0

作者：

Owsinski, Jan W. ^{[1
]}

Kacprzyk, Janusz ^{[1
]}

Shyrai, Stanislau ^{[2
]}

Szmidt, Eulalia ^{[1
]}

Viattchenin, Dmitri A. ^{[3
]}

Hernandez Hormazabal, Jorge ^{[4
,5
]}

机构：

[1] Polish Acad Sci, Syst Res Inst, 6 Newelska St, PL-01447 Warsaw, Poland

[2] Belarusian State Univ Informat & Radioelect, 6 P Brovka St, Minsk 220013, BELARUS

[3] Natl Acad Sci Belarus, United Inst Informat Problems, 6 Surganov St, Minsk 220012, BELARUS

[4] Univ Liverpool, Management Sch, Chatham Bldg,Chatham St, Liverpool L69 7ZH, Merseyside, England

[5] Univ La Frontera, Ave Francisco Salazar, Temuco 01145, Chile

来源：

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | 2018年 / 31卷 / 04期

基金：

欧盟地平线“2020”;

关键词：

Intuitionistic fuzzy set; intuitionistic fuzzy tolerance; clustering; allotment among intuitionistic fuzzy clusters; membership degree; non-membership degree; labeled object; partial supervision; agricultural value chan;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：399 / 423

页数：25

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