Soft methodologies in the decision support systems
1996
Havlicek, J. | Ziskal, J. (Ceska Zemedelska Univ., Prague-Suchdol (Czech Republic))
Two general principles of complexity of the soft system can be recognized: (i) the amount of information required to describe the system, (ii) the amount of information needed to resolve any uncertainty associated with the system involved. Uncertainty can be measured as probabilistic or fuzzy. Computation complexity is a characterization of the time or space (memory) requirements for solving problem by a particular algorithm. The special programming environment is needed to support decision making in soft systems. Soft approaches are not only characterized by the demand for large quantities of numeric computation, but also by the searching and pattern matching operations i.e. the necessary symbolic computation. An object-oriented environment seems to be of higher programmer productivity, lower development and maintenance costs and is able to handle complex real-world problems better than conventional languages.
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