Work

Designing Gaussian Membership Functions for Fuzzy Classifier Generated by Heuristic Possibilistic Clustering

Year: 2013

Type: article

Abstract: The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuzzy rules derived from the data by using heuristic algorithms of possibilistic clustering. Basic concepts of the heuristic approach to possibilistic clustering are reminded and the extended technique of constructing membership functions of fuzzy sets is proposed. An illustrative example is given and preliminary conclusions are made.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

Authors: Dmitri A. Viattchenin, Reyhane Tati, Aliaksandr Damaratski

Institutions: National Academy of Sciences of Belarus, United Institute of Informatics Problems, Islamic Azad University, Tehran

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W282410562

FWCI: 0.331

Cites:

Cited by: 15

Related to: 10