Traditional computer programs require precision: on-off, yes-no, right-wrong. However, human beings do not experience the world in this way. Fuzzy Systems consist of a variety of concepts and techniques for representing and inferring knowledge that is imprecise, uncertain, or unreliable.
Fuzzy Systems can create rules that use approximate or subjective values, as well as incomplete or ambiguous data. Statements such as "hot" or "expensive" are not immediately suitable for use by an algorithm. Fuzzy Systems provide the means for handling such information by expressing logic with some carefully defined imprecision. Unlike traditional programs that use simple IF-THEN rules, Fuzzy Systems use statements that closely model the way people think so that these statements can be interpreted by computers as well as human experts.
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