### Table 1. The discrete values for each strategy that are commonly used by wheel manufacturers

"... In PAGE 7: ... Basically, strategies A and D change the shape of the spoke, strategies B and C change the stiffness of the center of the wheel, and strategy E adjusts the depth of weight reduction holes. Table1 lists the various discrete values for each strategy that are commonly used by wheel manufacturers. More than one strategy can be used simultaneously when redesigning a wheel.... ..."

### Table 1: Some ARKTOS attributes with their possible discrete values

1999

"... In PAGE 4: ... It is these facts that are used in the Dempster-Shafer rule system for classification. Table1 lists some of these facts and ... In PAGE 4: ...Table 1: Some ARKTOS attributes with their possible discrete values As can be seen from Table1 , some facts about a feature are directly related to the numeric attributes computed. For example, based on discussions with experts, a feature with area less than 200 pixels is considered to be of small size, a feature with area between 201 and 1600 pixels is medium, a feature between 1601 and 25000 pixels is large, and still larger features are considered huge.... ..."

Cited by 1

### Table 1. Mapping relationship between strings and discrete values

"... In PAGE 3: ... (6) where, i x is the physical value of each variable, and b D is the binary code mapped into decimal code. For discrete design variables, the physical value of i x is determined by a mapping relationship that is illustrated by a three-bit string as shown in Table1 . The three-bit string can be decoded to an unsigned decimal integer between 0 and 7, and then, these values are mapped into discrete ones according to their one-to-one relationships.... ..."

### Table 1 lists the variables representing the profiles of patients. We chooses some variables in the profiles in applying association classifica- tion algorithm. As the number of variables and possible values of the variables decrease, the run time of the algorithm will decrease. The algo- rithm requires all the variables take only a set of discrete values. There are many ways to discretise the continuous variables. For the sake of understandability and simplicity, we use cutoff values to discretise the variables. Table 2 lists the cutoff values used for continuous variables.

2005

"... In PAGE 5: ...Table1 . List of variables used for association classification Variable Values Gender m,f Age group 1,2,3,4 Indigenous 0,1 Sickness(bed days) 1,2,3 Hosp.... ..."

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### Table 2. Optimum CWmin (discrete values, powers of 2) based on analysis and simula- tion, for IEEE 802.11b (11 Mbps) and 802.11a (24 Mbps)

2006

"... In PAGE 5: ... Nevertheless, what is important for the work in this paper is that there is good agreement in the region of the optimum CWmin. Table2 compares the simulation with the analytical ap- proach based on (2) for estimating the optimum CWmin, when the latter obtains discrete values3 that are powers of 2. Observe that the optimal selection of CWmin based on the simple analytical model agrees with the selection based on simulation for C = 11 Mbps, but is overestimated for C = 24 Mbps.... ..."

Cited by 1

### Table 1. The original value is stored in the cells of the vector, and the discretized value is the index of each cell. Suppose now that AQ-learned rules indicate a need for representing the discretized value 1 with a higher precision. A new sequence of values [0.5 .. 1.4] around value 1 , that represents the first order approximation (Table 2).

2001

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### Table 3. The information system with discrete values of the considered criteria

### Table 2. Discrete value correspondence most superior quantity

2005

### Table 4.1: Importance factors (attribute reference weights) for an asymmetric preference case (for the discrete-value attributes)

### Table 3. Different possibilities for measurement value status (Duta amp; Henry, 2005). SEVA category Definition

"... In PAGE 49: ... The measurement value status (MV status) is a discrete-valued and indicates how reliable the calculated VMV is. The basic categories for measurement value status are shown in Table3 (Duta amp; Henry, 2005). The device status assists users in determining whether the measurement is acceptable in the used application.... ..."