Business and Social Behaviour Intelligence Analysis Using PSO

TitleBusiness and Social Behaviour Intelligence Analysis Using PSO
Publication TypeJournal Article
Year of Publication2014
AuthorsBhaska, V. S., A. K. Singh, J. Dhruw, A. Parashar, and M. Sharma
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume2
Number6
Date Published06/2014
Pagination69-74
Abstract

The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviour

KeywordsArtificial Intelligence, Geographic information system, Optimization, PSO
DOI10.9781/ijimai.2014.268
URLhttp://www.ijimai.org/journal/sites/default/files/files/2014/05/ijimai20142_6_8_pdf_20898.pdf
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IJIMAI20142_6_8.pdf484.33 KB