Logical Decisions - Classweb

Logical Decisions - Classweb Logical Decisions - Classweb

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Using LDW 2: Assessing Introduction The second major step of an LDW analysis is to assess preferences. LDW needs your preferences to define how to convert the measures to common units and how to compute the weights of the measures and goals. The information you enter in the "Structuring the Problem" step is often relatively objective. Different experts can often agree on the the structure of the goals hierarchy and the levels for the alternatives. The information collected in the preference assessment step is different. There are generally no objectively right answers to the preference questions and reasonable people can disagree. There is no way to avoid the preference assessment step in decisions with more than one evaluation measure. Some approaches claim to avoid the step, but usually they just hide it by combining it with the more objective parts of the analysis. This makes it very difficult to see what's going on and severely limits the usefulness of the analysis. LDW takes a better approach. It clearly separates the objective parts of the analysis (structuring the problem) from the more subjective parts (the preference assessments). LDW then provides tools to identify the effects of different preferences and to identify those preference judgments that are crucial to the results of the analysis. This can help focus the discussion about the decision to those aspects that are most critical. Preference Sets Preference sets are where LDW stores the preference judgments for a single individual or homogeneous group. A preference set contains all the information LDW needs to compute a ranking of the alternatives for the "Overall" goal. This information includes category multipliers, single-measure utility functions, and the weight assessment information that lets LDW compute the multi- Section 7 -- Using LDW 2: Assessing 7-1

Using LDW 2: Assessing<br />

Introduction<br />

The second major step of an LDW analysis is to assess<br />

preferences. LDW needs your preferences to define how to<br />

convert the measures to common units and how to compute the<br />

weights of the measures and goals.<br />

The information you enter in the "Structuring the Problem" step is<br />

often relatively objective. Different experts can often agree on the<br />

the structure of the goals hierarchy and the levels for the<br />

alternatives.<br />

The information collected in the preference assessment step is<br />

different. There are generally no objectively right answers to the<br />

preference questions and reasonable people can disagree.<br />

There is no way to avoid the preference assessment step in<br />

decisions with more than one evaluation measure. Some<br />

approaches claim to avoid the step, but usually they just hide it by<br />

combining it with the more objective parts of the analysis. This<br />

makes it very difficult to see what's going on and severely limits<br />

the usefulness of the analysis.<br />

LDW takes a better approach. It clearly separates the objective<br />

parts of the analysis (structuring the problem) from the more<br />

subjective parts (the preference assessments). LDW then provides<br />

tools to identify the effects of different preferences and to identify<br />

those preference judgments that are crucial to the results of the<br />

analysis. This can help focus the discussion about the decision to<br />

those aspects that are most critical.<br />

Preference Sets<br />

Preference sets are where LDW stores the preference judgments<br />

for a single individual or homogeneous group. A preference set<br />

contains all the information LDW needs to compute a ranking of<br />

the alternatives for the "Overall" goal. This information includes<br />

category multipliers, single-measure utility functions, and the<br />

weight assessment information that lets LDW compute the multi-<br />

Section 7 -- Using LDW 2: Assessing 7-1

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