What is Soft computing?
Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them Zadeh's 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; and the 1979 report (1981 paper) on possibility theory and soft data analysis. The inclusion of neural computing and genetic computing in soft computing came at a later point.
At this juncture, the principal constituents of Soft Computing (SC) are Fuzzy Logic (FL), Neural Computing (NC), Evolutionary Computation (EC) Machine Learning (ML) and Probabilistic Reasoning (PR), with the latter subsuming belief networks, chaos theory and parts of learning theory. What is important to note is that soft computing is not a melange. Rather, it is a partnership in which each of the partners contributes a distinct methodology for addressing problems in its domain. In this perspective, the principal constituent methodologies in SC are complementary rather than competitive. Furthermore, soft computing may be viewed as a foundation component for the emerging field of conceptual intelligence.
Importance of Soft Computing
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???? Write difference between Soft Computing & Hard Computing.
"Soft computing" is just automating process of computation. "Hard computing" means you are just doing computation process according to your needs only. For eg. there are kind of problems[identifying vowels and counting them in any given sentence] which a human brain can compute very easily. This is an example of "Soft Computing". Our human brain scans vowels and counts them in seconds. Now coming to "Hard computing" - you make a program for this same above scenario and run it. That is part of "Hard Computing". You are telling the computer -just a box to compute(or process) according to your needs. So that kind of computing is a part of "Hard computing". "Soft computing" is much much times faster than "Hard Computing". Basic constituents of "Soft Computing" include Fuzzy Logic , Neural computing, Evolutionary computation, Machine learning and probabilistic reasong etc.
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