Year: 1980
Author: Menges, G., Kofler, E.
Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 100 (1980), Iss. 1 : pp. 1–17
Abstract
We devote ourselves to the practically very frequent cases in which forecastings have to be made on the basis of partial information. Partial information means that the forecasting probabilities are a) incomplete, b) imprecise (fuzzy) or c) not given in quantitative (cardinal) forms. The methodology of LPI (Linear Partial Information) allows for the utilization of any kind of information according to its degree of indeterminateness. The ever remaining gaps are filled by decisions; here the MaxE„in-Principle is applicable. The methodology is illustrated by some examples including a numerical one
Journal Article Details
Publisher Name: Global Science Press
Language: Multiple languages
DOI: https://doi.org/10.3790/schm.100.1.1
Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 100 (1980), Iss. 1 : pp. 1–17
Published online: 1980-01
AMS Subject Headings: Duncker & Humblot
Copyright: COPYRIGHT: © Global Science Press
Pages: 17
Author Details
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An interregional population-employment model for the Federal Republic of Germany: Methodology and forecasting results for the year 2000
Birg, H.
Papers of the Regional Science Association, Vol. 47 (1981), Iss. 1 P.97
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