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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Univ El Oued, Fac Science & Technology
2017
|
| Subjects: | |
| 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!
|
| Institution: | Universiti Teknologi Malaysia |
| Summary: | 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. |
|---|