Logical Decisions - Classweb

More documents

Recommendations

Info

probabilistic ..............6 - 29 LDW file .....................8 - 62 level ................ 3 - 3, 9 - 4, 9 - 9 modifying................6 - 11 most and least preferred . . . 6 - 18 point estimate . . . . . . . . . . . . 6 - 20 probabilistic . . . . . . . . 6 - 11, 6 - 21 structuring ...............6 - 20 types ....................6 - 20 matrix menu..................6 - 12 matrix view . 3 - 2, 6 - 10, 6 - 14, 6 - 17, 6 - 20, 9 - 6, 9 - 10 measure ......................9 - 4 adding...................6 - 19 cutoff level ...............6 - 18 dialog box................6 - 17 increasing and decreasing . . . 9 - 8 labels .............. 6 - 19, 6 - 29 range ....................6 - 18 structuring . . . . . . . . . . 6 - 17, 9 - 8 measure categories . . . . . . 6 - 30, 9 - 10 adding...................6 - 31 changing.................6 - 31 deleting..................6 - 31 multipliers . . . . . . . . . . 7 - 5, 9 - 11 measure categories view . . . . . . 6 - 17, 6 - 30 member.......................9 - 7 mid-level splitting . . . . . . . . . . . . . 9 - 16 mid-preference level . . . . . . . . . . . 9 - 16 Monte Carlo simulation . . . . . . . . 6 - 27 MUF .......7 - 23, 8 - 11, 9 - 31, 12 - 2 additive..................9 - 36 assessing.................9 - 36 formula ............ 8 - 15, 9 - 36 multiplicative . . . . . . . . . . . . . 9 - 55 nominal utility ................6 - 16 normal distribution . . . . . . . . . . . . 6 - 25 pairwise weight ratios . . 7 - 37, 9 - 39, 9 - 40 piecewise linear cumulative . . . . 6 - 24 point estimate . . . . . 6 - 20, 6 - 22, 9 - 9 preference set..................7 - 1 adding....................7 - 3 changing...................7 - 3 deleting....................7 - 3 dialog box..................7 - 3 preferences assessing............. 7 - 5, 9 - 12 printing graphics ..................8 - 49 probabilistic level . . . 6 - 11, 6 - 21, 9 - 9 dialog box.................6 - 21 range .........................6 - 18 representatives . . . . 7 - 26, 7 - 27, 7 - 38, 9 - 34 results menu ..................8 - 19 review menu ...................8 - 2 risk aversion . . . . . . 7 - 13, 9 - 15, 9 - 25 risk premium............ 7 - 12, 9 - 25 sample........................6 - 28 smart method . . . . . 7 - 25, 7 - 35, 9 - 39 smarter method . . . . 7 - 24, 7 - 33, 9 - 37 sorting........................8 - 55 status.............. 7 - 4, 7 - 25, 7 - 42 SUF ................ 3 - 4, 7 - 6, 9 - 14 assessing............. 7 - 8, 9 - 15 assessing with probabilities ................9 - 22 formulas ............ 8 - 17, 8 - 19 initialize ...................7 - 8 non-linear.................9 - 15 reviewing ..................8 - 2 sub-range ..................7 - 9 Summary Dialog Box . . . . . . . . . . . . 6 - 4 swing weights .................9 - 39 tab delimited files . . . . . . . . 8 - 67, 8 - 72 three point estimate . . . . . . . . . . . . 6 - 26 tradeoff ........... 7 - 26, 9 - 42, 12 - 1 assessing..................9 - 45 consistency checks . . . . . . . . . 7 - 45 graph.....................7 - 28 reviewing ..................8 - 4 tradeoff method . . . 7 - 25, 7 - 45, 9 - 41 assessing..................7 - 26 reviewing ..................8 - 6 uniform distribution . . . . . . . . . . . . 6 - 23 utility............... 3 - 4, 3 - 5, 9 - 13 I-2 Index
computing ................8 - 3 interpreting ..............9 - 65 nominal .................9 - 35 overall...................9 - 32 range ....................8 - 54 view menu ....................6 - 3 weights ......................12 - 1 assessing............ 3 - 5, 7 - 23 percentage ...............8 - 13 scaling constants . . . . . . . . . . 8 - 15 zooming .....................8 - 57 Index I-3
Page 1 and 2:
Logical Decisions Decision Support
Page 3 and 4:
Table of Contents Table of Contents
Page 5 and 6:
Assessing Weights with Weight Ratio
Page 7:
Assessing Interactions Between Meas
Page 11 and 12:
Introduction Real decisions aren't
Page 13:
S E C T I O N Requirements and Inst
Page 16 and 17:
"Logical Decisions". This program g
Page 19 and 20:
Quick Start Introduction This secti
Page 21 and 22:
Defining goals and measures. In LDW
Page 23 and 24:
Figure 3-1. The SUF for "Years of E
Page 25 and 26:
weights of the measures. All of the
Page 27:
S E C T I O N Basic Tutorial 4
Page 30 and 31:
Figure 4-1. Tutorial overview. 4-2
Page 32 and 33:
Now lets make sure the alternatives
Page 34 and 35:
Assume you have decided that you wi
Page 36 and 37:
Next we will enter the measures for
Page 38 and 39:
Defining Preferences The alternativ
Page 40 and 41:
1. Select the Assess::Common Units
Page 42 and 43:
almost equally unacceptable, while
Page 44 and 45:
1. Select the Assess::Common Units
Page 46 and 47:
When you do this, the tradeoff grap
Page 48 and 49:
1. Select "Performance" and "Price"
Page 50 and 51:
8. Click on the "Equal" button to t
Page 52 and 53:
Figure 4-11. Display generated by R
Page 54 and 55:
Figure 4-13. Overall ranking for tr
Page 56 and 57:
Figure 4-15. Graph showing sensitiv
Page 58 and 59:
You can see the completed introduct
Page 61 and 62:
Advanced Tutorial This tutorial sec
Page 63 and 64:
Probabilities There is a problem wi
Page 65 and 66:
This information indicates that the
Page 67 and 68:
A uniform distribution is defined b
Page 69 and 70:
On the left is a list of the possib
Page 71 and 72:
Figure 5-2. Example of Results::Unc
Page 73 and 74:
screen a large database for the alt
Page 75 and 76:
9. LDW will ask if you want to appe
Page 77 and 78:
commit to buying their truck before
Page 79 and 80:
see that the rankings for all the a
Page 81:
S E C T I O N Using LDW 1: Structur
Page 84 and 85:
The Edit::Insert option. The Insert
Page 86 and 87:
! Summary -- view a dialog box that
Page 88 and 89:
structure like an organization char
Page 90 and 91:
If you check the Show Assessment St
Page 92 and 93:
saves it for later pasting. When yo
Page 94 and 95:
You can create a new Matrix view by
Page 96 and 97:
The quick entry view shows the alte
Page 98 and 99:
Structuring Goals The goals in an L
Page 100 and 101:
these two fields to describe each m
Page 102 and 103:
the hierarchy. In the Matrix view,
Page 104 and 105:
! Point Estimate -- use a single nu
Page 106 and 107:
Figure 6-12. Example of a measure l
Page 108 and 109:
Figure 6-14. Example of a measure l
Page 110 and 111:
pass, LDW replaces each probabilist
Page 112 and 113:
Figure 6-17. Dialog box for definin
Page 114 and 115:
Figure 6-18. Measure Category Dialo
Page 117:
S E C T I O N Using LDW 2: Assessin
Page 120 and 121:
measure utility functions for the g
Page 122 and 123:
information as possible when you ch
Page 124 and 125:
measures with categories require mu
Page 126 and 127:
The "Reset" button deletes any asse
Page 128 and 129:
You can change the shape of the cur
Page 130 and 131:
Figure 7-4. Utility Assessment Scre
Page 132 and 133:
very different from the average of
Page 134 and 135:
Figure 7-6. Assessment matrix for A
Page 136 and 137:
You can, however, leave the assessm
Page 138 and 139:
properties dialog box can be select
Page 140 and 141:
the same level. LDW provides a grap
Page 142 and 143:
options in the Hierarchy menu to ad
Page 144 and 145:
The check box labeled "Allow Repres
Page 146 and 147:
Next you will see a tradeoff assess
Page 148 and 149:
The Tradeoff::Use Alternatives to S
Page 150 and 151:
Figure 7-13. Example of Direct Entr
Page 152 and 153:
You can think of the importance num
Page 154 and 155:
Figure 7-15. Assessment Screen for
Page 156 and 157:
When you have selected two members
Page 158 and 159:
("importance strength") that best d
Page 160 and 161:
clicking on the "Initialize" button
Page 162 and 163:
Set a Small k. The Enter Small k op
Page 164 and 165:
select the tradeoff you would like
Page 166 and 167:
Figure 7-18. Effects of consistency
Page 169 and 170:
Using LDW 3: Reviewing Results Intr
Page 171 and 172:
The curve shows how the utility fun
Page 173 and 174:
The tradeoff graph has one measure
Page 175 and 176:
When you select the option, you are
Page 177 and 178:
the relative weights of the "Price"
Page 179 and 180:
epresents a computer alternative wi
Page 181 and 182:
Figure 8-11. Example of Review::Ass
Page 183 and 184:
e true even if the measure has a ve
Page 185 and 186:
an analysis are included in exactly
Page 187 and 188:
Graph Weights The Graph Weights dis
Page 189 and 190:
Figure 8-16. Results::Rank Alternat
Page 191 and 192:
Figure 8-18. Dialog box for Results
Page 193 and 194:
You can use the measure equivalents
Page 195 and 196:
simulation for each alternative usi
Page 197 and 198:
Sensitivity Graphs Sensitivity grap
Page 199 and 200:
You can view a sensitivity table by
Page 201 and 202:
Figure 8-28. Example of Results::Sc
Page 203 and 204:
Figure 8-30. Example of Results::Sc
Page 205 and 206:
In the dialog box, you are asked to
Page 207 and 208:
Figure 8-34. Dialog box for Results
Page 209 and 210:
Graph an Alternative The graph an a
Page 211 and 212:
Figure 8-38. Example of Results::Gr
Page 213 and 214:
Finally, the two radio buttons on t
Page 215 and 216:
Figure 8-43. Example of Results::Co
Page 217 and 218:
Printing and Saving Windows You can
Page 219 and 220:
The dialog box will show you the fi
Page 221 and 222:
Figure 8-45. Dialog box for Edit::C
Page 223 and 224:
Changing the range for utility. You
Page 225 and 226:
Figure 8-50. Dialog box for Prefere
Page 227 and 228:
the current color for that type of
Page 229 and 230:
copies the selected objects to the
Page 231 and 232:
analysis with the skeleton analysis
Page 233 and 234:
Figure 8-55. Dialog box for File::I
Page 235 and 236:
the other measures. The measure nam
Page 237 and 238:
The idea of the Import Structure op
Page 239 and 240:
Next, LDW asks you if it should app
Page 241 and 242:
Other Options utility function for
Page 243:
In addition, the Window menu contai
Page 247 and 248:
In Depth Introduction This section
Page 249 and 250:
A third example is a portfolio deci
Page 251 and 252:
Each alternative has a raw score (c
Page 253 and 254:
into more specific goals continues
Page 255 and 256:
Measures in LDW You define measures
Page 257 and 258:
computed measure levels to common u
Page 259 and 260:
Converting the Measures to Common U
Page 261 and 262:
Figure 9-2. Example of linear (stra
Page 263 and 264:
For an example of the mid-level spl
Page 265 and 266:
Since U(L0) = U(80) = 0 and U(L1) =
Page 267 and 268:
Figure 9-5. Summary of SUF assessme
Page 269 and 270:
describe two alternatives: A, which
Page 271 and 272:
with equal chances of 40 and 70 per
Page 273 and 274:
In the original formulation of the
Page 275 and 276:
1 Equal Importance Two activities c
Page 277 and 278:
You begin the process by selecting
Page 279 and 280:
Figure 9-7. Effects of goals with a
Page 281 and 282:
0.5. Then the weight assigned to "P
Page 283 and 284:
! You can use the "Smarter Method"
Page 285 and 286:
allocates this weight before comput
Page 287 and 288:
nth root of the product of the rati
Page 289 and 290:
Figure 9-8. Summary of estimating t
Page 291 and 292:
on the decision maker's response, L
Page 293 and 294:
Figure 9-10. MUF assessment figure
Page 295 and 296:
Now think of adjusting P so that th
Page 297 and 298:
Another approach is to use the rang
Page 299 and 300:
Figure 9-12. Quantitative range vs.
Page 301 and 302:
If a measure’s range changes, LDW
Page 303 and 304:
Figure 9-14 is an example of the ov
Page 305 and 306:
Similarly, a single member can have
Page 307 and 308:
chance having 160 hp (the most pref
Page 309 and 310:
A probability of less than 0.5 for
Page 311 and 312:
Interpreting the Ranking Results LD
Page 313:
S E C T I O N Examples 10
Page 316 and 317:
the idea that other manufactures an
Page 318 and 319:
The completed goals hierarchy is sh
Page 320 and 321:
Buying a House The ranking results
Page 322 and 323:
Figure 10-5. Goals hierarchy for bu
Page 324 and 325:
Overall goal Quality goal Costs goa
Page 326 and 327:
The preference assessments were don
Page 328 and 329: Figure 10-9. Goals hierarchy for re
Page 330 and 331: ! Noise, ! Agricultural Impacts, an
Page 333: S E C T I O N Commands Summary 11
Page 336 and 337: Assess Menu Edit Menu The Assess me
Page 338 and 339: File Menu Edit::Insert Lets you add
Page 340 and 341: utility function” if the active g
Page 342 and 343: Matrix Menu ! Hierarchy -- options
Page 344 and 345: Results::Dynamic Sensitivity See th
Page 346 and 347: Review::Compute Utilities Compute t
Page 348 and 349: Tradeoff Menu View Menu LDW display
Page 351: S E C T I O N Glossary 12
Page 354 and 355: Common Units Certainty Equivalent C
Page 356 and 357: LDW File Level Lottery Measure assi
Page 358 and 359: MUF MUF Formula See also: Alternati
Page 360 and 361: Preference Set Probabilistic Level
Page 362 and 363: Tradeoff Trial program decides whic
Page 365: Bibliography B
Page 368 and 369: The classic reference on multiple m
Page 371 and 372: Appendix This appendix describes th
Page 373: = .125 Thus the weight for cost is
Page 377: Index adjusted AHP ................
show all

Logical Decisions - Classweb

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?