DOI:10.20894/IJCOA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.079 & GIF:0.416
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

Paper Template
Copyright Form
Subscription Form
web counter
web counter

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJCOA provides online manuscript tracking system.

Every issue of Journal of IJCOA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJCOA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJCOA website. For complete procedure, contact us at admin@iirgroups.org

SCIA Journal Metrics


SCIA-GRAPH
SCIA-SAI

Hybrid Fuzzy Approches for Networks

R.Udayakumar,V.Khanaa

Published in:   Vol. 1 Issue 2 Date of Publication:   December 2012
Page(s):   31-34 Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA.101.001.002.002 SAI : 2012SCIA316F0942

Fuzzy net works using a multidimensional view of data have become very popular in both business and science in recent years. Fuzzy net works for fuzzy purposes such as medicine and bio-chemistry1 pose several great challenges to existing fuzzy net work technology. Fuzzy net works usually use pre-aggregated data to ensure fast query response. However, pre-aggregation cannot be used in practice if the dimension structures or the relationships between facts and dimensions are irregular. A technique for overcoming this limitation and some experimental results are presented. Queries over fuzzy fuzzy net works often need to reference data that is external to the fuzzy net work, e.g., data that is too complex to be handled by current fuzzy net work technology, data that is owned by other organizations, or data that is updated frequently. This paper presents a federation architecture that allows the integration of multidimensional warehouse data with complex external data.