Realizing that we are entering the era of intelligent systems, there is a belief that systems analysis and control should embrace computational intelligence and assign a higher priority to the development of methods that can cope with imprecision, uncertainty and partial truth. The systems that we deal with are becoming more complex, more interdependent, and less amenable to analysis by conventional methods. Computational intelligence rests on what is called soft computing (the concept introduced to describe an association of computing methodologies centering on fuzzy logic, neuro-computing, genetic computing and probabilistic computing).