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Soft Computing

A Fusion of Foundations, Methodologies and Applications

Publishing model:

Aims and scope

Soft Computing provides rapid dissemination of important results in soft computing foundations, methodologies and applications. It encourages the integration of soft computing theoretical and practical results into both everyday and advanced applications. The journal aims to connect the ideas and techniques of soft computing with other disciplines.

Soft Computing is dedicated to system solutions based on soft computing paradigms. It provides rapid dissemination of important results in soft computing, a fusion of research in evolutionary algorithms, genetic programming, swarm intelligence, neural science, neural net systems, fuzzy set theory, fuzzy systems, Bayesian networks, chaos theory, chaotic systems.

By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists engaged in research and development in this fast growing field.

Soft Computing - Section Foundations

The Section Foundations welcomes original and significant contributions to the mathematical and logical foundations of soft computing, and related areas.

The Section is a forum that aims at promoting, circulating, and stimulating the research on mathematical foundations of soft computing intended in a broad sense as a method for dealing with non crisp information, for instance characterized by the presence of vagueness, imprecisions, high complexity, or uncertainty.

Relevant topics include, but are not limited to,

  • Algebra and algebraic logic,
  • Computational paradigms and computational complexity
  • Description logic, temporal logic, dynamic logic, and modal logic
  • Domain theory and type theory
  • Fuzzy logic, fuzzy set theory, and many-valued logic
  • Substructural logic
  • Probability logic, belief functions, etc.

Soft Computing – Section Methodologies and Applications

The Section M&A aims at promoting and stimulating the research in the field of the development of enhanced computational systems based on innovative or consolidated soft computing methodologies such as Fuzzy Logic, Neural Networks and Evolutionary Algorithms. Under this perspective, particular attention is given to hybrid and agent-based systems i.e., computational frameworks that use different soft computing approaches in a synergic way in order to face the intrinsic complexities characterizing real environments and exploit imprecise and vague information which strongly characterizes real-world scenarios. As consequence, this journal section seeks original research contributions with a focus on applications belonging but not limited to following areas:

  • computer networks,
  • data mining,
  • image and video processing,
  • intelligence agents,
  • machine learning,
  • pattern recognition,
  • robotics,
  • web intelligence.