2010 Impact factor now 0.948

 

Modern systems are becoming more and more complex and sophisticated in their demand for performance, reliability and increasing autonomy. Historically, highly analytic and numeric based methods have sufficed, frequently simplifying the problem to allow analytical tractability. Many manufactured and natural systems (biological, ecological and socio-economic) cannot be adequately represented quantitively alone; qualitations and heuristics, linguistics etc., knowledge is frequently required within a common information-processing framework. A wide range of new theories, methodologies and techniques are required to ‘enable' such systems, and thus engineering and integration to deal with these demands. The primary aim of the International Journal of Systems Science is to become world leader in the exciting and demanding field of intelligent systems engineering and its applications.

 

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