International Journal of Students’ Research in Technology & Management
eISSN: 2321-2543, Vol 5, No 4, 2017, pp 58-65
https://doi.org/10.18510/ijsrtm.2017.548
58 |www.ijsrtm.in ©Authors
CORRELATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES
WITH SOFT COMPUTING IN VARIOUS AREAS
Avinash Kumar*
*
Department of Mechanical Eng., Government Eng. Ramgarh, Jharkhand, India
Abhishek Kumar
2
2
Department of ECE, BIT Mesra, Ranchi, Jharkhand, India
Arun Prasad Burnwal
3
3
Department of Mathematics, GGSESTC, Bokaro, Jharkhand, India
*
email: avikr1208@gmail.com
Article History: Submitted on 12
th
August, Revised on 09
th
October, Published on 27
th
November 2017
Abstract: Artificial Intelligence (AI) is a part of computer science concerned with designing intelligent
computer systems that exhibit the characteristics used to associate with intelligence in human behavior.
Basically, it define as a field that study and design of intelligent agents. Traditional AI approach deals with
cognitive and biological models that imitate and describe human information processing skills. This processing
skills help to perceive and interact with their environment. But in modern era developers can build system that
assemble superior information processing needs of government and industry by choosing from large areas of
mature technologies. Soft Computing (SC) is an added area of AI. It focused on the design of intelligent systems
that process uncertain, imprecise and incomplete information. It applied in real world problems frequently to
offer more robust, tractable and less costly solutions than those obtained by more conventional mathematical
techniques. This paper reviews correlation of artificial intelligence techniques with soft computing in various
areas.
Keyword. Artificial intelligence; Soft computing; Correlation; Engineering and science.
INTRODUCTION
Artificial Intelligence (AI) [1], [2] is intelligence exhibited by machines. It is a human-like intelligent models
for decision making. It perceives its own environment and takes actions that maximize its chance of success at
some goal. According to the father of AI, John McCarthy, it is the science and engineering of making intelligent
machines, especially intelligent computer programs. It is a way of making a computer, a computer-controlled
robot, or a software think intelligently, in the similar manner the intelligent humans think. The most important
element of AI is an agent that perceives its environment and takes actions to maximize its chances of success
and reduce the complexity of system. It helps to solve real world problems by coping uncertainty of reasoning
into incomplete knowledge to make strong analytical and planning systems. During solving the problem its
deals with several phases such as planning, learning, perception and ability to move and manipulate target
entity. Whereas Soft Computing (SC) [3], [4] is a sub-discipline of AI. It is used in unpredictable situation
where uncertainties related to information is more. It is tolerant of imprecision, uncertainty, partial truth, and
approximation. Correlation of AI techniques with SC is a broad class of statistical relationships that involves
dependency though in common usage of constituent elements of AI with SC techniques.
MOTIVATION
Several surveys have been illustrated in last few decades. Each survey deal with either AI or SC, no proposal
deals with combination of AI techniques with SC. This paper discussed both applications AI as well as SC.
CONTRIBUTIONS
In this survey paper, we illustrates the application of AI and SC in science and engineering. The key
contributions of this paper are as follows:
It gives general concept of AI.
It also gives basic idea of SC.
It describes relation between AI and SC.
It illustrates several problem domains where techniques of AI and SC are used.
ORGANIZATION OF THE PAPER
The remainder of this paper is organized as follows. In Section 2, illustrates working principle of AI. Section 3
provides correlation of AI with SC technique. Mathematical modelling for correlation of AI techniques with SC