Welcome to the InfoSci Platform
Reference Hub9
A Novel Intuitionistic Fuzzy Correlation Algorithm and Its Applications in Pattern Recognition and Student Admission Process

A Novel Intuitionistic Fuzzy Correlation Algorithm and Its Applications in Pattern Recognition and Student Admission Process

Paul Augustine Ejegwa, Idoko Charles Onyeke
Copyright: © 2022 |Volume: 11 |Issue: 1 |Pages: 20
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781683182498|DOI: 10.4018/IJFSA.285984
Cite Article Cite Article

MLA

Ejegwa, Paul Augustine, and Idoko Charles Onyeke. "A Novel Intuitionistic Fuzzy Correlation Algorithm and Its Applications in Pattern Recognition and Student Admission Process." IJFSA vol.11, no.1 2022: pp.1-20. http://doi.org/10.4018/IJFSA.285984

APA

Ejegwa, P. A. & Onyeke, I. C. (2022). A Novel Intuitionistic Fuzzy Correlation Algorithm and Its Applications in Pattern Recognition and Student Admission Process. International Journal of Fuzzy System Applications (IJFSA), 11(1), 1-20. http://doi.org/10.4018/IJFSA.285984

Chicago

Ejegwa, Paul Augustine, and Idoko Charles Onyeke. "A Novel Intuitionistic Fuzzy Correlation Algorithm and Its Applications in Pattern Recognition and Student Admission Process," International Journal of Fuzzy System Applications (IJFSA) 11, no.1: 1-20. http://doi.org/10.4018/IJFSA.285984

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Many computing methods have been studied in intuitionistic fuzzy environment to enhance the resourcefulness of intuitionistic fuzzy sets in modelling real-life problems, among which, correlation coefficient is prominent. This paper proposes a new intuitionistic fuzzy correlation algorithm via intuitionistic fuzzy deviation, variance and covariance by taking into account the complete parameters of intuitionistic fuzzy sets. This new computing technique does not only evaluates the strength of relationship between the intuitionistic fuzzy sets but also indicates whether the intuitionistic fuzzy sets have either positive or negative linear relationship. The proposed technique is substantiated with some theoretical results, and numerically validated to be superior in terms of performance index in contrast to some hitherto methods. Multi-criteria decision-making processes involving pattern recognition and students’ admission process are determined with the aid of the proposed intuitionistic fuzzy correlation algorithm coded with JAVA programming language.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.