International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Neutrosophication Study to Analyse and Evaluate the Knowledge, Attitude and Practice (KAP) on Breast Cancer among Women

Author(s) Dr. JOYCE SHARLINE S, Dr. UMA G
Country India
Abstract Breast Cancer is one of the most prevalent cancers globally, affecting both women and men, though it's significantly more common in women in developing countries due to limited awareness and delayed diagnosis. Early detection is crucial, as it greatly improves the chances of successful treatment. Regular screenings, such as mammograms, self-examinations, and awareness of family history, are key preventive measures. In medical science, diagnosis and prognosis is one of the most difficult and challenging tasks. In real life situation, there are many issues in which we face uncertainties, vagueness, complexities and unpredictability. Intuitionistic fuzzy set explain uncertainty to some extent. It is not sufficient to study all sorts of uncertainty present in real – life. Here neutrosophic data plays a significant role to study the concept of indeterminacy data without any restriction. Neutrosophic logic, an extension of fuzzy logic, introduces three membership functions—truth (T), indeterminacy (I), and falsity (F)—providing a more comprehensive representation of complex human judgments. By applying these theories to breast cancer KAP data, the study highlights regions of misinformation, uncertainty, and partial knowledge, offering nuanced insights into public awareness. In this paper, the application of Neutrosophic to statistical data in a study assessing women’s Knowledge, Attitude and Practice related to Breast cancer.
Keywords Breast Cancer, Fuzzy Set, Neutrosophic, Knowledge, Attitude, Practice
Field Mathematics > Statistics
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-30
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.56164
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals