Decision matrices

A decision matrix was used to create two single value metrics for each polymer, one evaluating each polymer for life cycle environmental impacts and the other evaluating each polymer for adherence to green design principles. Results from both assessments were normalized to the average across aU polymers, shown in Eq. (15.3), where N- is the normalized value for polymer i in metric/impactj, V- is the 

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A strategy that can be used to renew commitment to the posttreatment recovery plan is called the decision matrix. The decision matrix is quite similar to a prosand-cons list used when a client or potential client is in the contemplation stage of change to enhance motivation. This strategy is particularly useful to challenge the rise of positive expectancies during a chain of events that place the client at risk for a lapse. 

The decision matrix allows the client to focus on the costs and benefits of lapse/relapse versus maintaining the changes for which she or he has worked so hard in therapy. An additional element to the decision matrix is an attempt to have... 

FIGURE 5 Decision matrix for choosing whether or not to automate a laboratory method, and if so, what kind of automation to use. Courtesy of Zymark Corporation, Hopkinton, Massachusetts, USA. 

Hwang and Yoon (1981, p. 127) consider the ELECTRE family of methods to be "one of the best methods" because of the way it utilizes the information available in the decision matrix and a logic they consider to be simple. 

While there are several factors to consider in the level of qualification conducted, including the type of vendor or supplier, the scope of work involved in the contract, and the amount of risk associated with the outcome of the project, the evaluation of each of these factors is manageable. The use of a decision matrix is probably the most effective tool in completing this evaluation. An example of a decision matrix is illustrated in Table 1. 

Table 10.3 Decision matrix for selecting extrapolation methods.294...

Figure 27.1 Decision matrix for evaluation and classification of the hazard of IMBP acting as atypical tumor promoters.

Murrell described and illustrated the theory of weakly interacting chromo-phores. His approach may be used in a straightforward way for analysis of the electronic spectra of vdW systems. Unless the states of one subsystem are mixed by the field of the other subsystems (i.e. in the absence of the field effect), the decisive matrix elements of the total Hamiltonian between the ground state, the singly excited states and the doubly excited state are then (the symbols used by Murrell are employed) ... 

While the decision matrix shown in Table 2 suggests a rather simple testing approach, in reality, adherence to the SE concept requires that it be applied to a multitude of characteristic variables including chemical SE, biological SE, SE of potential exposure routes, and the SE of possible overall safe use. 

Table 2 Simplified decision matrix for evaluation of GMO safety according to the concept of substantial equivalence ...

Table 9.5 Triad decision matrix showing the results from all tests on a quantitative effect scale. The tests are grouped per Triad leg, and the geometric mean of (1—effect) is calculated. The values in bold type are gross effect levels. Back transformation gives the integrated effect value for all tests per Triad leg. In the lower part of the matrix, all integrated results are summarized and the final risk is calculated, including a deviation factor for demonstrating imbalance between results from different Triad legs.

The pesticides, their CAS1 no., the abbreviations used in figures and tables and the descriptors are given in Table 2. The data in Table 2 thus form the decision matrix, which is the basis for both HDT and the MCAs. 

Table 11.2. Typical decision matrix for automotive battery selection.

Fig. 9.3.14 Left Receiver operating characteristic (ROC) for FPF = 1 /5. Right Decision matrix and detection statistics for this ROC curve.

To provide a method for the evaluation, or at least comparison between two analyzers probabilities of false alarms, a model for the prediction of FAR was devised, which is based on relating the total number of the analyzer s orthogonal measurement channels and the analyzer s signal-to-noise ratio (R, ) tio to the probability of analysis errors obtained imder specific test conditions, which also corresponds to errors predicted by ROC curves [8], as illustrated by the example in Fig. 9.3.14. The area above the ROC curve, 1-Az, represents the total instrumental error of the involved analyzer, and may be plotted by simply using the result of tests yielding values of FPF (False Positive Fraction) and FNF [16]. One set of specific test conditions assumed in early model computations consisted of a simple symmetry for FPF and FNF, leading to the symmetrical Decision Matrix and Proportions shown in Fig. 9.3.14. 

Figure 3 Decision Matrix Representation of a Single-Stage Decision.

Table 4.5 Decision matrix for conceptual designs as presented by Team 1...

Attachments can include pertinent supporting information collected in support of the investigation such as timelines, drawings, calculations, pictures, decision matrix, risk matrices, fault trees, fishbone diagrams, and cause and effect diagrams. 

TABLE VI Sample of a Qualitative Decision Matrix for the First Design Case (Base-Case Design) ... 

Table VI shows a sample of a qualitative decision matrix for the base-case design which summarizes the suggestions from the thermoeconomic evaluation of each component. Decreasing the values of the pressure ratio P2/P1 and the isentropic compressor efficiency tqsc as well as increasing the isentropic turbine efficiency r]st are expected to improve the cost effectiveness of the cogeneration system. Note, that the decrease in the p2 /p 1 value contradicts the corresponding suggestions from the heat-recovery steam generator and the combustion chamber. However, changes snggested by the evaluation of a component should only be considered if they do not contradict...

Fig. 9 Decision matrix for multi-criteria decision making...

Addresses the strong beliefs of those who want frequency of exposure given separate consideration in the risk assessment process (e.g., having frequency of exposure included as an element in a risk decision matrix was much debated in the meetings out of which the ANSI B11.TR3 report was developed)... 

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