Soft Computing's applications is based on some biological induced methods such as genetics, development, and behavior, the warm of particles, the human nervous system, etc.

2. 1. Actuarial Science
2. Agricultural
Engineering
3. Computer Engineering
4. Data Mining
5. Environmental
Engineering
6. Fault Tolerance
7. Image Processing
8. Medical Diagnosis
9. Pattern Recognition
10.Process Control

3. The main objective of this
actuarial science for applying the
mathematical and statistical
methods to examine risk in the
insurance industry.

4. The agricultural engineering is
applying the engineering science
and technology to agricultural
productivity and processing system.

5. Computer Engineering: In
the computer engineering
mostly use in software
designing, hardware/
software integration, and
more..

6. Data mining is a part of computer science
in which use the computational process of
discovering patterns in large data sets
involving methods at the intersection of
artificial intelligence.

7. Environmental Engineering is most effective Soft
Computing Application. It is the integration of
science and engineering principles to improve the
natural environment such as air, water, and / or
land resources, to provide healthy water, air and
land such as home or home and other human
habitats , And therapeutic pollution site.

8. Fault Tolerance : In this
concept if some components
have some problem then to
enable the system for
operating properly.

9. Image processing is an signal
processing for giving the input as
image such as video frame, and
yielding output as the set of
characteristics otherwise their
parameters.

10. Medical Diagnosis: In the
medical areas to examine the
any difficult disease. With the
help of statistics the
diagnostic procedure
involves classification tests.

11. Pattern Recognition : In this concept to
provide the best answers for all input and
perform the matching the input with their
statistical variation.

12. Process control is a statistical and
engineering discipline that relates to
architecture, system and algorithms to
maintain the production of a specific process
within a desired range. . Enables process
control automation, with which a small
employee of the operations personnel can
operate a complex process from the central
control panel.