A FUZZY UPGRADING OF INTEGRATED VAGUE MANAGERIAL AND ENGINEERING KNOWLEDGE

In reality it is not possible to separate managerial and engineering k nowledge without a considerable information loss. Realistic integrated conventional managerial/engineering files are rather vague and very s parse. They are not suitable for direct applications of fuzzy reasonin g algorithms. A fuzzy upgrading is a retrospective application of the knowledge of engineering methods and integration of large set of speci fic and rather isolated detailed information items. Any upgrading is h ighly subjective and ad hoc in nature. The upgrading objectivity can b e increased by a set of upgrading algorithms. Two of them (discriminat ive power evaluation and fractal analysis) are described. The fractal analysis gives a trade-off between general and specific knowledge item s and is presented separately as Appendix. A case study (an upgrading of sugar-cane-plant knowledge base) is presented.