Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients

In the traditional hypotheses test, hypotheses are crisp. In this paper, we consider the hypotheses test for unknown mean in normal populations with fuzzy data when the standard deviation of the population is known. This paper aims to distinguish various parameter effects on clinical Heart Patients...

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Main Authors: Gandikota, N.S.K., Hasan, M.H., Jaafar, J.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29854 /
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097546130&doi=10.1109%2fICCI51257.2020.9247733&partnerID=40&md5=354d3023e1c1df9e062d2524f98abc9b
http://eprints.utp.edu.my/29854/
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spelling utp-eprints.298542022-03-25T02:58:18Z Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients Gandikota, N.S.K. Hasan, M.H. Jaafar, J. In the traditional hypotheses test, hypotheses are crisp. In this paper, we consider the hypotheses test for unknown mean in normal populations with fuzzy data when the standard deviation of the population is known. This paper aims to distinguish various parameter effects on clinical Heart Patients with Two-way Anova, and in this fuzzy test, we will make a fuzzy decision for rejection or acceptance null hypothesis on various parameters of clinical data of Heart Patients with Fuzzy p-value and compared the results with the conventional hypothesis test results. These results will be a benchmark for new patients (same characteristics as the old patients) to treat them in a better way. © 2020 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097546130&doi=10.1109%2fICCI51257.2020.9247733&partnerID=40&md5=354d3023e1c1df9e062d2524f98abc9b Gandikota, N.S.K. and Hasan, M.H. and Jaafar, J. (2020) Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients. In: UNSPECIFIED. http://eprints.utp.edu.my/29854/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In the traditional hypotheses test, hypotheses are crisp. In this paper, we consider the hypotheses test for unknown mean in normal populations with fuzzy data when the standard deviation of the population is known. This paper aims to distinguish various parameter effects on clinical Heart Patients with Two-way Anova, and in this fuzzy test, we will make a fuzzy decision for rejection or acceptance null hypothesis on various parameters of clinical data of Heart Patients with Fuzzy p-value and compared the results with the conventional hypothesis test results. These results will be a benchmark for new patients (same characteristics as the old patients) to treat them in a better way. © 2020 IEEE.
format Conference or Workshop Item
author Gandikota, N.S.K.
Hasan, M.H.
Jaafar, J.
spellingShingle Gandikota, N.S.K.
Hasan, M.H.
Jaafar, J.
Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients
author_sort Gandikota, N.S.K.
title Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients
title_short Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients
title_full Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients
title_fullStr Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients
title_full_unstemmed Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients
title_sort comparison between conventional and fuzzy hypotheses test results for parameter treatment effect for heart patients
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097546130&doi=10.1109%2fICCI51257.2020.9247733&partnerID=40&md5=354d3023e1c1df9e062d2524f98abc9b
http://eprints.utp.edu.my/29854/
_version_ 1741197309786456064
score 11.62408

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