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Titlebook: Decision-Aiding Software; Skills, Obstacles an Stuart S. Nagel Book 1991 Policy Studies Organisation 1991 behavior.computer.constraint.deci

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https://doi.org/10.1007/978-3-662-43419-2The purpose of this chapter is mainly to discuss how one can determine the motives, goals, or values of past decision-makers from knowing what decisions they have reached and their likely perceptions of the relevant facts. One may also be able to deduce their perceptions from knowing their decisions and goals.
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https://doi.org/10.1007/978-3-662-43419-2The Rand McNally . (1985) seeks to score 329 cities on nine different criteria.. It tries to handle the multidimensionality problem by giving a rank order from 1 to 329 to each city on each criterion and then adding the nine rank orders in order to give each city a total score. In 1985, Pittsburgh received the highest total score.
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https://doi.org/10.1007/978-3-662-43419-2The purpose of this chapter is to explain how traditional optimizing can be improved by multiple criteria decision-making (MCDM) in general and the Policy/Goal Percentaging (P/G%) variation of MCDM in particular.
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Stefan Berger,Stefano Musso,Christian WickeThe P/G% software was presented in a special workshop at the 1987 annual meeting of the American Association for the Advancement of Science. That workshop was partly designed to bring out how the decision-aiding software could be applied to natural science, social science, and the humanities.
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Choosing Among AlternativesThe purpose of this chapter is to show how spreadsheets can be used systematically to process a set of goals to be achieved, alternatives for achieving them, and relations between goals and alternatives in order to choose or explain the best alternative, combination, allocation, or predictive decision-rule.
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