Abstract
Due to notable technological convergence that brought about exponential growth in computer world, Soft Computing (SC) has played a vital role with automation capability features to new levels of complex applications. In this research paper, the authors reviewed journals related to the subject matter with the aim of striking a convincing balance between a system that is capable of tolerance to uncertainty, imprecision, approximate reasoning and partial truth to achieve tractability, robustness, economy of communication, high machine intelligence quotient (MIQ), low cost solution and better rapport with reality to conventional techniques. This paper gives an insight on four major consortiums of SC that sprang from the concept of cybernetics, explores and reviews the different techniques, methodologies; application areas and algorithms are formulated to give an idea on how these computing techniques are applied to create intelligent agents to solve a variety of problems. The mechanisms highlighted can serve as an inspiration platform and awareness to new and old researchers that are not or fully grounded in this unique area of research and to create avenue in order to fully embrace the techniques in research communities.
Highlights
Artificial Intelligence (AI) is a broad field of study with different meanings to researchers depending on individual perspectives
Irrespective of the meaning attached to it, AI or Soft Computing (SC) has to do with human intelligence which requires complex and advanced reasoning processes and knowledge in executing diverse applications such as control, forecasting, robotics, pattern recognition, medicine, and optimization, signal processing and industrial applications [1], [29], [38], [224].In this age, there are several techniques used or applied in solving real world problems such as Hard computing (HC), Soft computing (SC) and Hybrid computing (HyC) with striking or peculiar characteristics and features
HC is known as the conventional methods that are based on mathematical techniques such as crisp systems, binary logic, numerical analysis and finite element analysis
Summary
Department of Electrical and Electronics Engineering, University of Agriculture, Makurdi, Nigeria To cite this article: Philip O. Omolaye, Joseph M. Mom, Gabriel A. Igwue. A Holistic Review of Soft Computing Techniques. Applied and Computational Mathematics. Vol 6, No 2, 2017, pp. 93-110. doi: 10.11648/j.acm.20170602.15 Received: February 15, 2017; Accepted: March 17, 2017; Published: April 10, 2017
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