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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

These existing system correct decisions are confidently made for majority of the objects.  i.e., no additional information and forced two ways certain decisions, the average accuracies are 94.89% and94.72% for the TD and PID datasets, respectively.

These results are dynamically changed promising when compared with some of the proposed results. For instance, an information gain-based approach and Fuzzy C-Means were reported to have accuracies of 95.9% and83.7%, respectively, for the TD dataset.

PROPOSED CONCEPT:-

 Particularly, the option of deferment decisions is added in this approach that provides the flexibility to further examine and investigate the uncertain and doubtful cases.

The game-theoretic rough set (GTRS) model is a recent development in rough sets that can be used to determine the three rough set regions in the probabilistic rough sets framework by determining pair of thresholds. The three regions are used to obtain three-way decision rules in the form of acceptance, rejection, and deferment rules.

EXISTING METHODS:-

fuzzy Decision methods

PROPOSED METHODS:-

Three Way Decision Making methods

TECHNIQUE DEFNITION:-

These results are dynamically changed promising when compared with some of the proposed results. For instance, an information gain-based approach and Fuzzy C-Means were reported to have accuracies of 95.9% and83.7%, respectively, for the TD dataset.

TECHNIQUE DEFNITION:-

In this paper, we extend the GTRS model to analyze uncertainty involved in medical decision making. Experimental results with a GTRS-based approach on different health care datasets suggest that the approach may improve the overall quality of decision making in the medical field, as well as other fields.

DRAWBACKS:-

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ADVANTAGES:-

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