Special issue recent advances in soft computing: Theories and applications

  • Authors:

  • Chee Peng Lim;Valentina Emilia Balas;Quoc Do

  • Affiliations:

  • Deakin University, Burwood, VIC, Australia;“Aurel Vlaicu” University of Arad, Arad, Romania;University of South Australia, Mawson Lakes, SA, Australia

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
  • Year:
  • 2013

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Abstract

Soft Computing is an interdisciplinary area that encompasses a variety of computing paradigms. Examples of some popular soft computing paradigms include fuzzy computing, neural computing, evolutionary computing, and probabilistic computing. Soft computing paradigms, in general, aim to produce computing systems/machines that exhibit some useful properties, e.g. making inference with vague and/or ambiguous information, learning from noisy and/or incomplete data, adapting to changing environments, and reasoning with uncertainties. These properties are important for the systems/machines to be useful in assisting humans in our daily activities. Indeed, soft computing paradigms have been demonstrated to be capable of tackling a wide range of problems, e.g. optimization, decision making, information processing, pattern recognition, and intelligent data analysis. A number of papers pertaining to some recent advances in theoretical development and practical application of different soft computing paradigms are highlighted in this special issue.