All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099959" target="_blank" >RIV/61989100:27240/16:86099959 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/16:86099959

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-27400-3_3" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-27400-3_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-27400-3_3" target="_blank" >10.1007/978-3-319-27400-3_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment

  • Original language description

    Cloud computing is one of the hottest technologies in IT field. It provides computational resources as general utilities that can be leased and released by users in an on-demand fashion. Companies around the globe are showing high interest in adopting cloud computing technology but cloud computing adaptation comes with greater risks that need to be assessed. In this research, an ensemble of adaptive neuro-fuzzy inference system (ANFIS) is proposed to assess risk factors in cloud computing environment. In the proposed framework, various membership functions were used to construct ANFIS model and finally, an ensemble of ANFIS models was constructed using an evolutionary algorithm. Empirical results indicate a high performance of the proposed models for assessing risk in the cloud environment. (C) Springer International Publishing Switzerland 2016.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 419

  • ISBN

    978-3-319-27399-0

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    27-36

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Pietermaritzburg

  • Event date

    Dec 1, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article