Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Novel ill-defined technique to make effective QOS using web service selection

Breadcrumb

  • Home
  • Novel ill-defined technique to make effective QOS using web service selection

Mohammed Sadhik Shaik *

Sr. Software web developer Engineer, Computer science, Germania Insurance, Melissa, Texas.
 
Research Article
World Journal of Advanced Research and Reviews, 2023, 20(02), 1454-1460
Article DOI: 10.30574/wjarr.2023.20.2.2418
DOI url: https://doi.org/10.30574/wjarr.2023.20.2.2418
 
Received on 05 October 2023; revised on 16 November 2023; accepted on 27 November 2023
 
A variety of web-based applications rely heavily on web services these days to provide efficient services and boost QoS. The usage of web and cloud services is increasing in response to rising user demands. An efficient approach to ranking services is required for their utilization in order to enhance QoS. Because it relies on multiple criteria, ranking the services in the cloud is challenging. Making a good preference-based choice is facilitated by the decision-making process in this instance. To effectively pick the services being used to improve QoS, this research proposes a novel ill-defined based MCDM approach. Conquering ambiguity in decision-making capture and management is the problem at hand. Users are delighted with the results of the analysis that they get from utilizing fuzzy opinions to rate the services, which are based on the fuzzy and matching methods. As we find out how well the planned approach works, we can see how accessible the service is, how reliable the data is, and how much it will cost. We compare the proposed approach to other methods that are already available, such as web selection based on TOPSIS and web selection based on AHP + TOPSIS.
 
Web Service; Cloud Services; Fuzzy; Quality of Service; Decision making\
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-2418.pdf

Preview Article PDF

Mohammed Sadhik Shaik. Novel ill-defined technique to make effective QOS using web service selection. World Journal of Advanced Research and Reviews, 2023, 20(2), 1454-1460. Article DOI: https://doi.org/10.30574/wjarr.2023.20.2.2418

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution