A fuzzy upgrading of integrated vague managerial and engineering knowledge

Mirko Dohnal; M. Starzak; M. Kerkovsky; J. Dohnalovna; J. Vystrcil; Raija Koivisto; M. Pokorny; M. Vanis; S. Parsons

doi:10.1016/0925-5273(93)90069-W

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 journal › Article › Scientific › peer-review

6 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	209 - 228
Number of pages	20
Journal	International Journal of Production Economics
Volume	32
Issue number	2
DOIs	https://doi.org/10.1016/0925-5273(93)90069-W
Publication status	Published - 1993
MoE publication type	A1 Journal article-refereed

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abstract = "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.",

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T1 - A fuzzy upgrading of integrated vague managerial and engineering knowledge

AU - Dohnal, Mirko

AU - Starzak, M.

AU - Kerkovsky, M.

AU - Dohnalovna, J.

AU - Vystrcil, J.

AU - Koivisto, Raija

AU - Pokorny, M.

AU - Vanis, M.

AU - Parsons, S.

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AB - 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.

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DO - 10.1016/0925-5273(93)90069-W

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JO - International Journal of Production Economics

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A fuzzy upgrading of integrated vague managerial and engineering knowledge

Abstract

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