Rough set theory is a tool for studying imprecision, vagueness, and uncertainty in data analysis. It focuses on discovering patterns, rules, and knowledge in large pools of data. The theory has its origin in the great research effort in the 1970's by Polish mathematicians and computer scientists in the analysis and representation of information systems The concept of a Rough Set was put forward by Dr. Zdzislaw Pawlak in 1982, and has been used for numerous applications in medicine, pharmacology, engineering, manufacturing, and banking.
What our
customers say
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Mr Benno Giuliani |
“We selected SolveIT Software for Integrated Planning of the NCA demand chain as they are experienced in optimising complex and dynamic logistics processes. The NCA coal chain is a key asset in the Xstrata Coal Australia portfolio and is set for significant expansion in coming years. Ensuring we exceed customer expectations through optimisation of value, quality, quantity and cost of XCQ’s coal products is our primary goal, and logistics optimisation initiatives across our systems landscape is a key driver for improved commercial and operational outcomes.”
Transport and Logistics Manager
Xstrata Coal
Xstrata Coal