New PDF release: Decision-Aiding Software: Skills, Obstacles and Applications

By Stuart S. Nagel

ISBN-10: 0312042124

ISBN-13: 9780312042127

ISBN-10: 1349116572

ISBN-13: 9781349116577

ISBN-10: 1349116599

ISBN-13: 9781349116591

The target of this ebook is to explain what's all for utilizing decision-aiding software program in evaluative decision-making at a non-technical point. subject matters coated contain the talents that software program complements, the hindrances that it is helping triumph over, and the purposes to assorted fields.

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Additional resources for Decision-Aiding Software: Skills, Obstacles and Applications

Example text

To score the alternatives on fair procedure one asks which budget category is less effective. Nearly everyone would say the police are less effective than the courts in separating out the innocent from the guilty which is the essence of fair procedure. 1. The police, however, do some separation of the innocent from the guilty when they decide who should be given warnings and who should be arrested. 2. Proof that the courts are somewhat effective in separating the innocent from the guilty is the fact that there are so few cases of 40 Decision-aiding Software convicted people who are subsequently found to have been innocent.

She did get married to the person she had in mind about a year later, and they have been living happily ever since then. 8 illustrate what is involved in a super-optimum settlement. The plaintiff demands $700,000 as a minimum in order to settle. The defendant offers $350,000 as a maximum in order to settle. The object of a super-optimum settlement is to provide the Table 2. :::. I!! ~ 0 0 ~~1 I Graph Print 7:56 pm 1099 Se"'e 700 I • 290 Plaintiff's Go to Trial First Demand Notes: 1. The expected value of settling from the plaintiff's perspective is $1,099,000, as described in the text (the first bar).

Some negative goals can be easily converted to positive goals by calculating a complement such as the percent of the labor force that is unemployed. Many negative goals, however, need to be retained as negative goals in order for the results to make sense and in order for the user to feel comfortable with the analysis. The AHP method makes no distinctions between goals and policies. It distinguishes only between higher and lower levels in a hierarchy of concepts. That is generally too abstract for most users.

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Decision-Aiding Software: Skills, Obstacles and Applications by Stuart S. Nagel


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