A multiple criteria decision support system for autonomous underwater vehicle mission planning and control

2010 ◽  
Vol 7 (2) ◽  
pp. 216 ◽  
Author(s):  
Madjid Tavana ◽  
Brian S. Bourgeois
1990 ◽  
Vol 15 (3) ◽  
pp. 217-221 ◽  
Author(s):  
M.J. Zyda ◽  
R.B. McGhee ◽  
S. Kwak ◽  
D.B. Nordman ◽  
R.C. Rogers ◽  
...  

2009 ◽  
pp. 2461-2471
Author(s):  
Cezary Orlowski ◽  
Zdzislaw Kowalczuk

The article discusses how the knowledge of management and artificial intelligence can be used for controlling the budgets and schedules ofsoftware projects. The first part of this paper gives an outline of the problems involved in software project management regarding the planning and control of processes and project teams. Next, an overview of changes in management is presented, followed by a description of a method for how these ideas can be used to solve software engineering problems. Consequently, an example is presented of a decision-support system, designed to aid project-team managers in planning and controlling budgets and schedules and helping the team members to adjust.


Author(s):  
Abdul Haris Rangkuti

Decision making at every company is something very important and vital. Decision making can be influenced by several aspects, so it can affect the promptness and accuracy of the process, especially when solving any complex, dynamic and less structured problems. Therefore, the combination of multiple criteria concept and an application program of decision-support system is an effective way to generate alternative decisions. The methods used for multiple criteria are: Bayes method, MPE, CPI and the AHP. This article discusses the use of each method, adapted to each problem. The four methods happen to be very effective with the help of the application program of decision support system. Expectantly these methods are able to assist company managements in decision-making. 


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