Soft computing refers to a collection of computational techniques which study, model, and analyze very complex systems for which the conventional methods have not yielded the best solutions. The main objective behind soft computing is to help deal with real-life situations. Most of the real life situations are complex and for modeling them we need a simplification of the complex system. The simplification must be in such a way that the information lost should be minimum. One way to do this is to allow some degree of uncertainty into it. In other words make statements imprecise. Soft computing, which takes into account the context and semantics, makes allowance for an "acceptable degree of imprecision" with the objective of exploiting the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and better rapport with reality. The application areas of soft computing are diverse and it varies from information technology to remote sensing and space technology.

This conference on "Mathematics of Soft Computing" is intended to provide a forum for researchers to report recent advances and exchange knowledge in the field of Soft Computing especially with a clear orientation to the Mathematical foundations of Soft Computing. The (non-exclusive) list of topics of interest includes: theoretical basis of non-standard reasoning; research in fuzzy logic programming; design of calculi for uncertainty, imprecision and vagueness; Soft Sets; Rough sets; Multisets; Artificial Intelligence, Neural Networks and Wavelet Analysis.
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