Download Data, Expert Knowledge and Decisions: An Interdisciplinary by W. Gaul, M. Schader (auth.), Professor Dr. Wolfgang Gaul, PDF

By W. Gaul, M. Schader (auth.), Professor Dr. Wolfgang Gaul, Professor Dr. Martin Schader (eds.)

Cross-disciplinary study on how computer-assisted determination making should be supported via subtle information research suggestions and up to date advancements in knowledge-based structures study are defined during this quantity, with emphasis on advertising functions. features handled comprise market-share research (spreadsheet based), media making plans, stochastic industry modelling, advertising and marketing info research and new product creation administration (all knowledge-based, partially utilizing PROLOG). those contributions emphasize hyperlinks among determination help, specialist wisdom study and advertising and marketing. different program parts are debt and credits administration and team of workers disposition (KEE based), portfolio administration (PROLOG dependent) and motor vehicle scheduling. Concrete interconnections among info research and advertising should be obvious within the contributions on type and unfolding of industry info, industry segmentation through pressured type, conjoint research functions, excellent element product mapping, MDS in telecommunications pricing and multi-mode advertising information evaluations.

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Extra info for Data, Expert Knowledge and Decisions: An Interdisciplinary Approach with Emphasis on Marketing Applications

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First, the two-mode matrix of Fig. 5 should be transformed into a two-mode dissimilarity matrix. The result of such a transformation is shown in Fig. 8. The characteristics of this new matrix are automatically adjusted by the transformation procedure. Since the resulting dissimilarities should not be interpreted as association data any longer, the type of the new matrix is, again, labelled as unspecified. g. result in the following proposals (see footnote 2): two-mode hierarchical cluster analysis, the unfolding model and the vector model.

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The results of simulations are accumulated in OCCASION files. Menu-driven utilities exist for forming plots or tables for these simulation results. 39 0011 ID 0 11 rt . . ru f-l to . CD OJ l ru (J) o r ru 7\ ru I. • ~ OJ n III ru :J ill III 01 f-l. o • .. •• II III ~ to II I) .. • • ft) to II II to to III \I Figure 2: Market Share versus Price COMPETITIVE GAMES The dynamic effects of marketing plans are conveyed through competitive games. The 26 weeks of data not summarized in the HISTORY file are used as the background data.

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