作者: J. H. D. Keukelaar
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摘要: This thesis discusses visual programming languages, representation of uncertainty in geographical data and a combination genetic optimization. A new language is described, based on novel version the dataflow paradigm. In this version, cyclic graphs are replaced with nested graphs, which also have other uses. Furthermore, programs become more structured, readable scalable. then formally defined using extension plex grammars. Various representations discussed, including some ones rough sets. measures developed, used two experiments that verify usefulness chosen. theory topological relations between uncertain presented. optimization has been implemented system actual use. The as combination. An experiment done to test performance combination, it performed better than plain programming. ISBN 91-7283-242-8 • TRITA-NA-0202 ISSN 0348-2952 ISRN KTH/NA/R–02/02–SE