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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Fuzzy parameterized fuzzy hypersoft set (Δ-set) is more flexible and reliable model as it is capable of tackling features such as the assortment of attributes into their relevant subattributes and the determination of vague nature of parameters and their subparametric-valued tuples by employing the concept of fuzzy parameterization and multiargument approximations, respectively. The existing literature on medical diagnosis paid no attention to such features. Riesz Summability (a classical concept of mathematical analysis) is meant to cope with the sequential nature of data. This study aims to integrate these features collectively by using the concepts of fuzzy parameterized fuzzy hypersoft set (Δ-set) and Riesz Summability. After investigating some properties and aggregations of Δ-set, two novel decision-support algorithms are proposed for medical diagnostic decision-making by using the aggregations of Δ-set and Riesz mean technique. These algorithms are then validated using a case study based on real attributes and subattributes of the Cleveland dataset for heart-ailments-based diagnosis. The real values of attributes and subattributes are transformed into fuzzy values by using appropriate transformation criteria. It is proved that both algorithms yield the same and reliable results while considering hypersoft settings. In order to judge flexibility and reliability, the preferential aspects of the proposed study are assessed by its structural comparison with some related pre-developed structures. The proposed approach ensures that reliable results can be obtained by taking a smaller number of evaluating traits and their related subvalues-based tuples for the diagnosis of heart-related ailments.

Details

Title
A Novel Fuzzy Parameterized Fuzzy Hypersoft Set and Riesz Summability Approach Based Decision Support System for Diagnosis of Heart Diseases
Author
Atiqe Ur Rahman 1   VIAFID ORCID Logo  ; Saeed, Muhammad 1   VIAFID ORCID Logo  ; Mazin Abed Mohammed 2   VIAFID ORCID Logo  ; Mustafa Musa Jaber 3   VIAFID ORCID Logo  ; Garcia-Zapirain, Begonya 4   VIAFID ORCID Logo 

 Department of Mathematics, University of Management and Technology, Lahore 54000, Pakistan; [email protected] (A.U.R.); [email protected] (M.S.) 
 College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq 
 Department of Computer Science, Dijlah University College, Baghdad 00964, Iraq; [email protected]; Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10021, Iraq 
 eVIDA Laboratory, University of Deusto, Avda/Universidades 24, 48007 Bilbao, Spain 
First page
1546
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20754418
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2693956679
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.