Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      05 July 2023, Volume 38 Issue 3
    Article

    BLOCKCHAIN TECHNOLOGY IN SUSTAINABLE ENERGY MANAGEMENT SYSTEMS: COMPLEX PROPORTIONAL ASSESSMENT (COPRAS) METHOD
    D Ravindran, Stephen Deepak , Prof. Arun Kumar, Ranganathan S, Dr. V. Umadevi, Mohd. Afjal
    Journal of Data Acquisition and Processing, 2023, 38 (3): 3978-3989 . 

    Abstract

    Blockchain technology has received a lot of attention from industry and academia due to its decentralization, stability, anonymity, and auditability. the use of blockchain technology in numerous fields and the difficulties associated with its deployment. There has been a thorough assessment of journal and research paper searches connected to blockchain technology. The foundational blockchain technology, which includes peer-to-peer networking, security, and consensus procedures, is not given as much attention as the currency itself. This essay makes the case that we should consider blockchain technology's potential applications outside of the realm of cash and investigate areas like secure document handling and digital IT administration. The usage of blockchain technology as just a foundation for numerous e-government applications and as a burgeoning support infrastructure demonstrates that it has the capacity to authenticate a variety of ongoing documents. The study's goal is to build the rough sets COPRAS method, which expresses alternatives' evaluation values in HFS form and presents information metrics for HFSs, such as variance and entropy measurements. The project was motivated by the abovementioned literature on HFSs. To estimate criteria weights, linear programming models based on the Shapley component are also suggested. Then, a quality service decision problem is used to illustrate the application of a suggested COBRAS technique. The TOPSIS approach, one of the most useful MCDM techniques, is explained in terms of the Shapley function's distance or difference. In order to compare the suggested Shapley-COPRAS approach with the Shapley-TOPSIS procedure and existing ones, a comparison framework is performed in the end. The alternatives are Electronic Health Records, Clinical Research, Medical Fraud Detection, Neuroscience Research and Pharmaceutical Industry and Research. the evaluation parameter is Decentralized, Transparent, Immutable, Autonomy, Open Source and Anonymity. the blockchain technology in healthcare using COPRAS. Pharmaceutical Industry and Research is got first rank, Neuroscience Research is got lowest rank.

    Keyword

    electric and hybrid electric propulsion, internal combustion engine (ICE), MCDM.


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved