"Decision support systems are gaining an increased popularity in various domains, including business, engineering, the military, and medicine. They are especially valuable in situations in which the amount of available information is prohibitive for the intuition of an unaided human decision maker and in which precision and optimality are of importance. Decision support systems can aid human cognitive deficiencies by integrating various sources of information, providing intelligent access to relevant knowledge, and aiding the process of structuring decisions. They can also support choice among well-defined alternatives and build on formal approaches, such as the methods of engineering economics, operations research, statistics, and decision theory. They can also employ artificial intelligence methods to address heuristically problems that are intractable by formal techniques. Proper application of decision-making tools increases productivity, efficiency, and effectiveness and gives many businesses a comparative advantage over their competitors, allowing them to make optimal choices for technological processes and their parameters, planning business operations, logistics, or investments."
Available from http://www.pitt.edu/~druzdzel/psfiles/dss.pdf
Dear Sylvia,
You are the expert in this field. Since you want to hear opinions from different research areas. here is my opinion.
I prefer the sift-computing techniques.
Decision Support System has become a great opportunity in industry thanks to their capabilities of helping experts to take better decisions because they are able to manage this new scenario.
The development of intelligent systems for helping experts to give support for their decisions is based on (1) extracting interesting patterns from moderate and large complex data (Data Mining) and (2) learning from them (Machine Learning). To do it, several approaches based on Soft-Computing techniques are used such as Evolutionary Computation, Case-Based Reasoning, Neural Networks, Complexity Metrics and Fuzzy Logic.
http://lasallerd.salleurl.edu/Decision_Suport_Systems
Thank you, Shafig. You have a very good point. It would be quite helpful to hear opinions originating from different research arias.
Sylvia
Dear Sylvia,
You are the expert in this field. Since you want to hear opinions from different research areas. here is my opinion.
I prefer the sift-computing techniques.
Decision Support System has become a great opportunity in industry thanks to their capabilities of helping experts to take better decisions because they are able to manage this new scenario.
The development of intelligent systems for helping experts to give support for their decisions is based on (1) extracting interesting patterns from moderate and large complex data (Data Mining) and (2) learning from them (Machine Learning). To do it, several approaches based on Soft-Computing techniques are used such as Evolutionary Computation, Case-Based Reasoning, Neural Networks, Complexity Metrics and Fuzzy Logic.
http://lasallerd.salleurl.edu/Decision_Suport_Systems
Dear Behrouz,
Your response is really very informative. It can be useful for researches with different levels of experience.
Best regards,
Sylvia
A decision support system is a computer system that typically contains mathematical models and knowledge based systems. Linear programming (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome.
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