PREFACE: SPECIAL ISSUE ON SOFT COMPUTING AND APPLICATIONS

Special issue recent advances in soft computing: Theories and applications

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...

Preface of special issue on probabilistic and soft computing methods for engineering geology

Probabilistic and soft computing methods are increasingly adopted in various fields of engineering geology. In the past decades, extensive original and innovative studies of various engineering geology problems have been conducted using probabilistic and soft computing methods, and substantial new theories, methods, insights, experiences, and data have been attained. This special issue is aimed...

Preface to the Special Issue on Deformation Theory and Applications

1Department of Mathematics, Computer Science and Applications, Faculty of Science and Technology, University of Haute Alsace, 4 rue des Frères Lumière, 68093 Mulhouse, France 2Department of Mathematics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia 3Department of Mathematics, Chalmers University of Technology and University of Gšöteborg, SE-412 96 Göteborg, Sweden Ad...

Guest Editors’ Preface Special Issue on Reversible Computing

Preface of the Special Issue on Hybrid Intelligent Systems using Soft Computing Techniques

The special issue on hybrid intelligent systems using soft computing techniques comprises seven contributions, which are representative of the state of the art in this area. The papers describe different contributions to the area of hybrid intelligent systems with application on control, pattern recognition, time series prediction, and automation. In the papers, optimal combinations of intellig...