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

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capability to engage targets in the air) generated nine different attributes that were later reduced to only three. The attribute Multirole was initially generated with the intent to measure the adaptability to different types of missions. It was judged to be redundant with the attribute Scope, which measures the capability to perform missions in different weather conditions. The analysis showed that the Multirole capability was already being addressed by the model as a whole and thus, Scope would be more important to measure for that particular objective. Another important aspect, during the attributes definition was to choose a metric for each one of them. Using the attribute A1.1Combat Radius as an example, the metric chosen was Nautical miles, which is a natural scale of distance commonly used in aviation. Next, a range (best and worst levels) needed to be defined. Winterfeldt and Edwards recommend that the end points of the scale should not only consider the available alternatives, but also any possible future alternatives. This approach was considered to be most appropriate to use in this work and thus, the acceptable ranges were defined, based on the ―objects that one would be willing to consider.‖ 98 Continuing with the previous example, the range of A1.1Combat Radius was defined based on research to identify aircraft with different levels of this attribute. The best performance levels were used as a guide to define the top of the range. The bottom 98 Winterfeldt and Edwards, Decision Analysis and Behavioral Research, 230. 52
was defined as zero, a value that would be suitable to any alternative without the capability to engage targets in the air. Figures 21 to 24 show the whole structure of the value model with its objectives and attributes, divided according to each high level fundamental objective. A complete explanation of all the attributes can be found in Appendix 2 and will not be repeated here. FORCE APPLICATION 1 ENGAGEMENT 1.1 SURVIVABILITY 1.2 Figure 21. Force Application Objectives Hierarchy and Atributtes. 53 ENG - AIR 1.1.1 ENG - SURFACE 1.1.2 ENG - SUBSURFACE 1.1.3 A1.10 Navigation A1.10 A1.9 Countermeasures A1.9 A1.1 Combat radius A1.1 A1.2 Scope A1.2 A1.3 Weapon capacity A1.3 A1.4 Armament payload A1.4 A1.5 SEAD A1.5 A1.6 Scope A1.6 A1.7 Scope A1.7 A1.8 Armament payload A1.8
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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
Page 14 and 15: Figure 1. Map of South America. 5 R
Page 16 and 17: - according to recent estimates - c
Page 18 and 19: transportation to others organizati
Page 20 and 21: Jobim points out that the lack of r
Page 22 and 23: 2.1 Systems Life Cycle in the BAF 2
Page 24 and 25: system. The generation of a POR con
Page 26 and 27: section (OPS) is subordinated to th
Page 28 and 29: According to Ralph Keeney, the stra
Page 30 and 31: 3. THEORETICAL FOUNDATIONS AND METH
Page 32 and 33: the alternatives under analysis. 3.
Page 34 and 35: exhaustive representation of the me
Page 36 and 37: is met but does not directly measur
Page 38 and 39: Winterfeldt and Edwards argue that
Page 40 and 41: Moreover, the shape of the utility
Page 42 and 43: 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 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 94 and 95: The great variations in the utility
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
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A 2.11 Capacity Amount of data that
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APPENDIX 3 UTILITY FUNCTIONS 1 Maxi
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1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0
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1.2 Maximize the survivability capa
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2.1.2 In the surface. 1 0.8 0.6 0.4
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Utility Figure A3.17 - A2.7 Coverag
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2.3.2 Using data 1 0.8 0.6 0.4 0.2
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3.2 Maximize the airlift capability
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Utility 1 0.8 0.6 0.4 0.2 0 1 0 0 2
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1Force Application 0.3208 2 Force A
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2 Force Awareness 0.3448 3 Force Mo
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3 Force Mobility 0.1724 4 Force Sup
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CARGO (CGO) Medium lift transport
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UNMANNED AERIAL VEHICLE (UAV) Medi
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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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