A fuzzy upgrading of integrated vague managerial and engineering knowledge

Mirko Dohnal (Corresponding Author), M. Starzak, M. Kerkovsky, J. Dohnalovna, J. Vystrcil, Raija Koivisto, M. Pokorny, M. Vanis, S. Parsons

    Research output: Contribution to journalArticleScientificpeer-review

    6 Citations (Scopus)


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

    Original languageEnglish
    Pages (from-to)209 - 228
    Number of pages20
    JournalInternational Journal of Production Economics
    Issue number2
    Publication statusPublished - 1993
    MoE publication typeA1 Journal article-refereed


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