# Differences Between Hard Computing and Soft Computing

Hard Computing Vs. Soft Computing: In this tutorial, we will learn about the hard computing, soft computing, and key differences between them. By Monika Jha Last updated : May 07, 2023

The process of accomplishing a particular task with the help of a computer or a computing device is known as computing. It should provide precise and accurate solutions, also it makes easy to find the mathematical solution of the problems.

## What is Hard Computing?

Before soft computing, there is a traditional approach used in computing which needs an accurately stated analytical model proposed by Dr. Lotfi Zadeh.

• It does not work on the mathematical model of problem-solving. Hard computing is suitable for mathematical problems, although it might be used to solve real-world problems, it consumes a large amount of computation time and cost. So, in this case, soft computing is a better alternative as compared to hard computing.
• Applications of hard computing are mobile robot coordination and forecasting combinational problems.
• If we want to solve the deterministic problems, we can use a hard computing approach. As the problem grows in size and complexity, the design search space also increases.

## What is Soft Computing?

Soft computing deals with approximate models and gives solutions to complex real-world problems. Soft computing is an approach that gives an impression on the human mind to reason and learns in an environment of uncertainty and impression.

• Soft computing deals with imprecision, uncertainty, partial truth and approximation to achieve close resemblance with human decisions.
• The cost of the solution also very low in this kind of computing, it forms the basis of a considerable amount of machine learning techniques.
• It is used in handwriting recognition and data compression and image processing.

Components of soft computing are as follows:

Machine learning, neural network, fuzzy logic, perception, genetic algorithms, etc.

## Difference between hard computing and soft computing

The following are the key difference between hard and soft computing:

• Hard computing is very accurate and certain whereas the soft computing model is imprecision tolerant and works on partial truth and approximation.
• Hard computing is based on a crisp system and binary logic and soft computing are based on fuzzy logic and probabilistic reasoning.
• Hard computing works on exact input data. On the contrary soft computing works on noisy and ambiguous data.
• Hard computing performs sequential computations while soft computing performs parallel computations on the data.
• Hard computing provides accurate results. On the other hand, soft computing provides approximate results.
• The nature of the hard computing approach is deterministic whereas soft computing is probabilistic.
• Hard computing uses two-valued logic, on the other hand, soft computing uses multi-valued logic.
• Hard computing requires programs to be written but soft computing will emerge its programs.