Stuart S. Nagel's Decision-Aiding Software: Skills, Obstacles and Applications PDF

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 publication is to explain what's interested by 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 stumbling blocks that it is helping triumph over, and the purposes to different fields.

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

Sample text

The software can deal with a set of alternatives arranged from low input to high input where doing too much or too little is undesirable. That means the summation scores will rise for each successive alternative and then drop when they reach a peak. 4. The software can deal with benefits and costs that need to be discounted or multiplied for the probability of their occurring. In such a situation, the weights consider both importance and probability. 5. Multiple missing information can be considered by working with weights and relations scores at both their best and worst values.

That eliminates the multi-dimensionality and weighting problems since a dollar increase in income is as valuable as a dollar decrease in expense. Each example is different on dealing with the problem of missing information: 1. The key missing item in the generic example is probably the relative weight of Goal B to Goal A. That problem, however, can be resolved by just reaching agreement that Goal B is more important than Goal A. 2. The getting-marrried example involves a concrete application of the above principle such that if companionship is more important than privacy, then the decision-maker should get married but not if privacy is as important as companionship, given the relation scores.

The 100 and the 60 are multiplied by a weight of one, as are the 0 and 12. The weight of one may seem like a low figure for reaching convergence which is virtually the equivalent of a weight of infinity. That, however, is part of the nature of diminishing returns whereby increasing the weights of criteria often has only slight marginal incremental effects. That is useful information since one need not argue whether the weight of crimes solved to civil cases should be 1, 2, 5, or higher if a weight of 1 gives virtually the equivalent of a weight of infinity in this substantive context with the numbers being what they are.

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

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