Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Optimization of Network Mapping for Screening and Intrusion Sensing Devices Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach

verfasst von : Himanshu Dhumras, Rakesh Kumar Bajaj, Gaurav Garg

Erschienen in: Cryptology and Network Security with Machine Learning

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Cardiovascular issues have now become the most common reason for the mortality of diabetic and hypertensive patients. Evaluating various risk factors for cardiovascular complexities has become significantly important for the prevention of these issues. Many medical professionals make cardiovascular complications diagnoses on the basis of prior information and data related to various decision parameters. The manuscript provides a methodology for the assessment of risk measures for cardiovascular complexities with the incorporation of the q-rung picture fuzzy decision-making technique. A new methodology involving the q-rung picture fuzzy set up has been proposed and implemented in the diagnoses of cardiovascular complexities. The assessment of risk factors has been done on the basis of proposed methodology for the betterment of the patients.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Sensor Node Design Optimization Methods for Enhanced Energy Efficiency in Wireless Sensor Networks
Nächstes Kapitel Correctness Proof of the Verification of ‘A Combined Public Key Scheme in the Case of Attribute-Based for Wireless Body Area Networks’
Literatur
1.
2.
Sowers JR, Epstein M, Frohlich ED (2001) Diabetes, hypertension, and cardiovascular disease an update. Hypertension 37(4):1053–1059CrossRef
3.
Campbell NR, Gilbert RE, Leiter LA, Larochelle P, Tobe S, Chockalingam A, Ward R, Morris D, Tsuyuki RT, Harris SB (2011) Hypertension in people with type 2 diabetes Update onpharmacologic management. Can Family Physician 57(9):997–1002
4.
Petrie JR, Guzik TJ, Touyz RM (2018) Diabetes, hypertension, and cardiovascular disease: clinical insights and vascular mechanisms. Can J Cardiol 34(5):575–584CrossRef
5.
Noor-E-Alam M, Lipi TF, Hasin MAA, Ullah AS (2011) Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM). Knowl-Based Syst 24(3):367–377CrossRef
6.
De Glanville WA, Vial L, Costard S, Wieland B, Pfeiffer DU (2014) Spatial multi-criteria decision analysis to predict suitability for African swine fever endemicity in Africa. BMC Veterinary Res 10(1):9CrossRef
7.
Ebrahimi M, Ahmadi K (2017) Diabetes-related complications severity analysis based on hybrid fuzzy multi-criteria decision making approaches. Iran J Med Inform 6(1):11–22CrossRef
8.
Kishore AH, Jayanthi VE (2018) Multi criteria decision making methods to predict the prevalence of coronary artery disease. J Med Imaging Health Inform 8(4):719–726CrossRef
9.
Ali A, Mehli N (2010) A fuzzy expert system for heart disease diagnosis. Int MultiConf Eng Comput Sci 1:134–139
10.
Senthil Kumar AV (2015) Fuzzy expert systems for disease diagnosis. Medical Information Science Reference (an imprint of IGI Global), USACrossRef
11.
Yang Y, Liang C, Ji S, Liu T (2015) Adjustable soft discernibility matrix based on picture fuzzy soft sets and its application in decision making. J Int Fuzzy Syst 29:1711–1722MathSciNet
12.
Coung BC (2014) Picture fuzzy sets. J Comput Sci Cybern 30:409–420
13.
Dhumras H, Bajaj RK (2023) Modified EDAS method for MCDM in robotic agri-farming with picture fuzzy soft dombi arithmetic-geometric aggregation operators. Soft Comput 27(8):5077–5098CrossRef
14.
Dhumras H, Bajaj RK, Shukla V (2023) On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection. Int J Inf Technol 15(5):2819–2825
15.
Muskan DH, Shukla V, Bajaj RK (2023) On medical diagnosis problem utilizing parametric neutrosophic discriminant measure. In: 2023 IEEE international students’ conference on electrical, electronics and computer science (SCEECS), Bhopal, India, 1–5
16.
Singh A, Dhumras H, Bajaj RK (2022) On green supplier selection problem utilizing modified TOPSIS with R-norm picture fuzzy discriminant measure. In: 2022 5th international conference on multimedia, signal processing and communication technologies (IMPACT), Aligarh, India, 1–5
17.
Aggarwal S, Dhumras H, Bajaj RK (2022) On banking site selection decision making problem utilizing similarity measures of picture fuzzy soft sets. In: 2022 5th international conference on multimedia, signal processing and communication technologies (IMPACT), Aligarh, India, 1–5
18.
Sharma E, Dhumras H, Bajaj RK (2022) On banking site selection problem utilizing novel picture fuzzy discriminant measure. In: 2023 IEEE international students’ conference on electrical, electronics and computer science (SCEECS), Bhopal, India, 1–5
19.
Tiwari AA, Dhumras H, Bajaj RK (2023) on parametric picture fuzzy information measure in pattern recognition problem. In: 2023 IEEE international students’ conference on electrical, electronics and computer science (SCEECS), Bhopal, India, 1–5
20.
Dhumras H, Bajaj RK (2023) On various aggregation operators for picture fuzzy hypersoft information in decision making. J Intell Fuzzy Syst 44(5):7419–7447CrossRef
21.
Dhumras H, Bajaj RK (2022) On renewable energy source selection methodologies utilizing picture fuzzy hypersoft information with choice and value matrices on renewable energy source selection methodologies utilizing picture fuzzy hypersoft information with choice and value matrices. Scientia Iranica
22.
Bansal P, Dhumras H, Bajaj RK (2022) On T-spherical fuzzy hypersoft sets and their aggregation operators with application in soft computing. In: 2022 5th international conference on multimedia, signal processing and communication technologies (IMPACT), Aligarh, India, pp 1–6
23.
Dhumras H, Bajaj RK (2023) On some new similarity measures for picture fuzzy hypersoft sets with application in medical diagnosis. Emergent Converging Technol Biomed Syst 1040:119–130CrossRef
24.
Garg H (2017) Some picture fuzzy aggregation operators and their applications to multicriteria decision-making. Arab J Sci Eng 42:5275–5290MathSciNetCrossRef
25.
Khalil AM, Li SG, Garg H, Li H, Ma S (2019) New operations on interval-valued picture fuzzy set, interval-valued picture fuzzy soft set and their applications. IEEE Access 7:51236–51253CrossRef
26.
Li L, Zhang RT, Wang J, Shang XP, Bai KY (2018) A novel approach to multi-Attribute groupdecision-making with \(q\)-rung picture linguistic information. Symmetry 10(5):172CrossRef
Metadaten
Titel
On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach
verfasst von
Himanshu Dhumras
Rakesh Kumar Bajaj
Gaurav Garg
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Cryptology and Network Security with Machine Learning

Print ISBN: 978-981-9706-40-2

Electronic ISBN: 978-981-9706-41-9

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-97-0641-9_16

Neuer Inhalt

    Bildnachweise