SOME SELECTED PROBLEMS OF MODERN SOFT COMPUTING

Abstract

I. INTRODUCTION
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.
Components of Soft computing include:
• Fuzzy Logic
• Neural networks
• Evolutionary computation
• Support vector Machines
In this paper, we shall present some selected problems of modern soft computing based on the new concept “Picture Fuzzy sets" (PFS, 2013). Some new basic definitions, operators and relative basic propositions of Picture uzzy Theory should be presented.
We shall also discuss on the main operations of Picture Fuzzy Logic and shall present some new results of the research group of Dr. Le Hoang Son on Picture Fuzzy Clustering method with some applications