Cover Image

Fuzzy based evaluation for agent oriented modeling tools

The importance of agent oriented system is expected to be more significant with the emergence of Industry 4.0. As the agent oriented system becomes more complex, the task of system architecture design would be more complicated and the modeling tools play an important role at that stage. To date, a g...

Full description

Saved in:
Bibliographic Details
Main Authors: A. Rahman, A. S., Masrom, S., Ibrahim, R.
Format: Article
Published: Univ El Oued, Fac Science & Technology 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/77490/
http://dx.doi.org/10.4314/jfas.v9i6s.38
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.77490
record_format eprints
spelling my.utm.774902018-11-30T07:09:49Z http://eprints.utm.my/id/eprint/77490/ Fuzzy based evaluation for agent oriented modeling tools A. Rahman, A. S. Masrom, S. Ibrahim, R. QA75 Electronic computers. Computer science The importance of agent oriented system is expected to be more significant with the emergence of Industry 4.0. As the agent oriented system becomes more complex, the task of system architecture design would be more complicated and the modeling tools play an important role at that stage. To date, a great number of agent modeling tools have been introduced but to choose the best tool for different features and functions is also difficult. This paper summarizes some important criteria of an agent oriented modeling tooland introduces fuzzy based evaluation to rank the three popular tools of agent oriented modeling. The fuzzy based evaluation technique is able to objectivelyrank the available modeling tools based on specified criteria. Univ El Oued, Fac Science & Technology 2017 Article PeerReviewed A. Rahman, A. S. and Masrom, S. and Ibrahim, R. (2017) Fuzzy based evaluation for agent oriented modeling tools. Journal of Fundamental and Applied Sciences, 9 (6S). pp. 508-523. ISSN 1112-9867 http://dx.doi.org/10.4314/jfas.v9i6s.38 DOI: 10.4314/jfas.v9i6s.38
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
A. Rahman, A. S.
Masrom, S.
Ibrahim, R.
Fuzzy based evaluation for agent oriented modeling tools
description The importance of agent oriented system is expected to be more significant with the emergence of Industry 4.0. As the agent oriented system becomes more complex, the task of system architecture design would be more complicated and the modeling tools play an important role at that stage. To date, a great number of agent modeling tools have been introduced but to choose the best tool for different features and functions is also difficult. This paper summarizes some important criteria of an agent oriented modeling tooland introduces fuzzy based evaluation to rank the three popular tools of agent oriented modeling. The fuzzy based evaluation technique is able to objectivelyrank the available modeling tools based on specified criteria.
format Article
author A. Rahman, A. S.
Masrom, S.
Ibrahim, R.
author_facet A. Rahman, A. S.
Masrom, S.
Ibrahim, R.
author_sort A. Rahman, A. S.
title Fuzzy based evaluation for agent oriented modeling tools
title_short Fuzzy based evaluation for agent oriented modeling tools
title_full Fuzzy based evaluation for agent oriented modeling tools
title_fullStr Fuzzy based evaluation for agent oriented modeling tools
title_full_unstemmed Fuzzy based evaluation for agent oriented modeling tools
title_sort fuzzy based evaluation for agent oriented modeling tools
publisher Univ El Oued, Fac Science & Technology
publishDate 2017
url http://eprints.utm.my/id/eprint/77490/
http://dx.doi.org/10.4314/jfas.v9i6s.38
_version_ 1643657564657811456
score 13.211869

Similar Items