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decision element

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decision element

[di′sizh·ən ‚el·ə·mənt]
(electronics)
A circuit that performs a logical operation such as “and,” “or,” “not,” or “except” on one or more binary digits of input information representing “yes” or “no” and that expresses the result in its output. Also known as decision gate.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
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References in periodicals archive
The second decision element included to control for public awareness was constituency opinion.
Eight factors or decision elements were included in the vignettes; six of these represented known determinants of legislative voting (e.g., public opinion, lobbying) and two related to accounting income.
Political use of income: some experimental evidence from Capitol Hill
Table 5: Ideal alternative solutions [lambda] [C.sub.1] [C.sub.2] [C.sub.3] [P.sup.*] 0.1 [0.78, 0.38, [0.28, [0.76, 0.48] 0.58, 0.66] 0.48, 0.46] 0.2 [0.76, 0.36, [0.26, [0.72, 0.46] 0.56, 0.62] 0.46, 0.42] 0.3 [0.74, 0.34, [0.24, [0.68, 0.44] 0.54, 0.58] 0.44, 0.38] 0.4 [0.72, 0.32, [0.22, [0.62, 0.42] 0.52, 0.54] 0.42, 0.34] 0.5 [0.70, 0.30, [0.20, [0.60, 0.40] 0.50, 0.50] 0.40, 0.30] 0.6 [0.58, 0.28, [0.18, [0.56, 0.38] 0.48, 0.46] 0.38, 0.26] 0.7 [0.66, 0.26, [0.16, [0.56, 0.36] 0.32, 0.42] 0.36, 0.22] 0.8 [0.64, 0.24, [0.14, [0.54, 0.34] 0.44, 0.38] 0.34, 0.18] 0.9 [0.62, 0.22, [0.12, [0.52, 0.32] 0.42, 0.34] 0.32, 0.14] Step 3: Calculate the measure values between ideal alternatives and decision elements
(i), we calculate tangent similarity measures for different values of [lambda] between ideal alternatives (Table 5) and the decision elements in Table 4 (see Table 6).
Interval Neutrosophic Tangent Similarity Measure Based MADM strategy and its Application to MADM Problems
The number of logistics decision elements (objects) is indicated by the size of the organization, the number of products and the complexity of the products measured as the number of components.
mainly production to order), and where the number of logistics decision elements are few (e.g.
Organization design strategies for business logistics
Selection of manufacturers and procurement quantities, as well as the location of warehouses, are thus important decision elements in wholesaling.
Manufacturer and warehouse selection for stable relationship in dynamic wholesaling and location problems
The elements of the depot location problem as defined are, however, only part of a wider set of decision elements associated with distribution strategic planning.
Examples of other distribution decision elements which interact, to a greater or lesser extent, with the elements of the depot location problem include:
Computer systems for distribution planning
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