• Aim


1. To exploit the tolerance for imprecision uncertainty, approximate reasoning and partial truth to achieve tractability, robustness,low solution cost, and close resemblance with human like decision making.


2. To find an approximate solution to an imprecisely/precisely formulated problem.

Soft Computing Group:

• Professor Incharge



4	Teaching Staff members
4	Non-Teaching Staff Members
5	Ph.D. Students
6	M. Tech. Students



• Challenge


1. The challenge is to exploit the tolerance for imprecision by devising methods of computation which lead to an acceptable solution at low cost. This, in essence, is the guiding principle of soft computing.


• Soft Computing Tools Developed


1. Variations in simple ANN


2. Development of Generlaized Neuron and its variations


3. Development of Fuzzy Expert Systems


4. Development of Evolutionary Algorithms


5. Integration of ANN, FS and EA