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
Full text not available from this repository.
Official URL: http://dx.doi.org/10.4314/jfas.v9i6s.38
Abstract
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.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | agent oriented system, modeling, fuzzy ranking, evaluation |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Advanced Informatics School |
ID Code: | 77490 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 30 Nov 2018 07:09 |
Last Modified: | 30 Nov 2018 07:09 |
Repository Staff Only: item control page