Dialectic Analyzing Models For Decision Support And Its Application Research In Medical Treatment

With the emergence of IT and rapid development of Information Integration technique, argumentation technology has played important role in Decision-Support Domain. Especially for information overload and dynamic, incomplete, inconsistent information environment, it is urging needed to adopt argumentation technology to support decision. On the one hand, argumentation may provide reasons and supports for decision through showing support or attack relation between arguments; On the other hand, argumentation can explain and analyse chosen options through constructing and evaluating arguments. Since this, it helps decisionmaker to estimate and judge actions, and it will improve decision effect.Firstly this dissertation makes research on Dung abstract argumentation scheme and argumentation theory based on value, it summarises the flaw and shortcomings of current Value-based argumentation decision-support model. It puts forwad the theory of argument category, In the light of it we designed the Argumentation-Decision controlling algorithm ArguDecision. We have implemented it to validate the feasibility and effectivity of this algorithm. However this kind of decision models needs to compute preferred extension repeatly. Since computing preferred extension is NP-Completeness problem,it is relatively difficult to solve this problem.This dissertation proposes a Dialectic Analyzing Models for Decision Support, it seperates the decision process into two phases: evaluating defensible options phase and picking best option phase. It integrates Katie's Argument scheme and BDI Agent model. We may evaluate options and choose better option on the basis of Dialectic Semantics.This paper has designed Smart doctor Medicalcare decision support system, and implemented it in the Blood Purification Domain.Finally we has proved that this model is available to be applied in decision support.