[Sample B: Approval/Signature Sheet] - George Mason University

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The great variations in the utility of the UAV and the ASW are an expected effect, since these aircraft systems are directly related to ISR missions, which contribute directly to the force awareness. Table 6 shows that no variation occurs in the ranking of the alternatives when the weight is increased. On the other hand, a decrease of weight by 10% on Force Awareness is enough to invert the ranking between CGO and than UAV. Utility 0.638 0.047 0 100 ACFT Force Aw. (37.73%) Percent of Weight on Force Awareness Figure 41. Weight Variation on Force Awareness. Table 6. Variation of Weight on Force Awareness. ACFT Force Aw. (47.73%) 82 Anti-submarine (ASW) Unmanned (UAV) Fighter (FTR) Cargo (CGO) Helicopter A (HLA) Helicopter B (HLB) ACFT Force Aw. (27.73%) FTR 0.488 FTR 0.5 FTR 0.496 ASW 0.415 ASW 0.457 ASW 0.384 UAV 0.272 UAV 0.331 CGO 0.248 CGO 0.23 CGO 0.239 UAV 0.227 HLA 0.167 HLA 0.169 HLA 0.178
An increase in the weight on Force Mobility yields an increase in the utility of HLA and a decrease in the utility of UAV. This is a result of the HLA‘s capability to operate in unprepared runways. A decrease in weight would produce inverse effects. Figure 42 shows that the weight line is over the switchover point between these two alternatives. As in the previous case, there is also a switchover point between UAV and CGO relatively close to the weight line. The results show that an increase of 10% in the weight on Force Mobility will change the ranking order between UAV and CGO. This is an intuitive result, since CGO‘s main purpose is to provide mobility to the force. The ranking order of the other alternatives remains unchanged. ACFT Force Mob. (16.98%) Table 7. Variation of Weight on Force Mobility. ACFT Force Mob. (26.98%) 83 ACFT Force Mob. (6.98%) FTR 0.488 FTR 0.462 FTR 0.534 ASW 0.415 ASW 0.37 ASW 0.471 UAV 0.272 CGO 0.275 UAV 0.313 CGO 0.23 UAV 0.245 CGO 0.212 HLA 0.167 HLA 0.177 HLA 0.17
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Comparing and Prioritizing Aircraft
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DISCLAIMER This work contains ficti
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TABLE OF CONTENTS Page List of Tabl
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LIST OF TABLES Table Page Table 1:
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Figure 36: Utilities for Cargo (CGO
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ABSTRACT COMPARING AND PRIORITIZING
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Figure 1. Map of South America. 5 R
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- according to recent estimates - c
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transportation to others organizati
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Jobim points out that the lack of r
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2.1 Systems Life Cycle in the BAF 2
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system. The generation of a POR con
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section (OPS) is subordinated to th
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According to Ralph Keeney, the stra
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3. THEORETICAL FOUNDATIONS AND METH
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the alternatives under analysis. 3.
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exhaustive representation of the me
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is met but does not directly measur
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Winterfeldt and Edwards argue that
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Moreover, the shape of the utility
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described by Kirkwood. 66 The aggre
Page 44 and 45: Additive independence is a stronger
Page 46 and 47: The multiplicative utility function
Page 48 and 49: 4.1 Decision Support 4. MODEL CONST
Page 50 and 51: of the overarching objective of the
Page 52 and 53: Figure 9. Decision Frame with Funda
Page 54 and 55: Force Application Force Awareness A
Page 56 and 57: The following definitions were adop
Page 58 and 59: Engagement Attack precisely Attack
Page 60 and 61: different from engaging a target in
Page 62 and 63: Figure 19. Fundamental Objectives H
Page 64 and 65: capability to engage targets in the
Page 66 and 67: FORCE AWARENESS 2 DETECTION 2.1 INT
Page 68 and 69: 4.3.2 Assumptions As described befo
Page 70 and 71: Using the objectives hierarchy in f
Page 72 and 73: The next step was to verify the add
Page 74 and 75: was found to be utility independent
Page 76 and 77: An exponential SUF formula was used
Page 78 and 79: 4.3.4 Assessing weights Utility Fig
Page 80 and 81: A2.4 Endurance ranged from 0 to 5,
Page 82 and 83: 5.1 Populating the Model 5. VALUE M
Page 84 and 85: to replace Helicopter B (HLB), whic
Page 86 and 87: OPERATIONAL CAPABILITY Utility for
Page 88 and 89: 1.000 Utility 0.000 Utility 1.000 0
Page 90 and 91: the information already provided by
Page 92 and 93: This type of analysis looks for poi
Page 96 and 97: Utility 0.560 0.000 0 100 Figure 42
Page 98 and 99: As before, the weights variations w
Page 100 and 101: used to check the effects of these
Page 102 and 103: The actual thresholds can be define
Page 104 and 105: 8. CONCLUSION Brazil is a huge coun
Page 106 and 107: Finally, this research intends to f
Page 108 and 109: 1.2 Maximize the survivability capa
Page 110 and 111: 4 Maximize the Force Support capabi
Page 112 and 113: A1.6 Scope See A1.2 A1.7 Scope See
Page 114 and 115: A 2.11 Capacity Amount of data that
Page 116 and 117: APPENDIX 3 UTILITY FUNCTIONS 1 Maxi
Page 118 and 119: 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0
Page 120 and 121: 1.2 Maximize the survivability capa
Page 122 and 123: 2.1.2 In the surface. 1 0.8 0.6 0.4
Page 124 and 125: Utility Figure A3.17 - A2.7 Coverag
Page 126 and 127: 2.3.2 Using data 1 0.8 0.6 0.4 0.2
Page 128 and 129: 3.2 Maximize the airlift capability
Page 130 and 131: Utility 1 0.8 0.6 0.4 0.2 0 1 0 0 2
Page 132 and 133: 1Force Application 0.3208 2 Force A
Page 134 and 135: 2 Force Awareness 0.3448 3 Force Mo
Page 136 and 137: 3 Force Mobility 0.1724 4 Force Sup
Page 138 and 139: CARGO (CGO) Medium lift transport
Page 140 and 141: UNMANNED AERIAL VEHICLE (UAV) Medi
Page 142 and 143: South Atlantic scenario: National o
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2. Force Awareness Table A7-3. Syst
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APPENDIX 8 GLOSSARY anti-submarine
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econnaissance aircraft - aircraft e
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REFERENCES Bizzi, Luiz Augusto, Jo
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―IMINT - NIIRS National Image Int
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Winterfeldt, Detlof von, and Ralph
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