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476 Index<br />

scenario intervention<br />

case study in public sector 393–400<br />

scenario planning 9, 377–410, 453<br />

case study 403–9<br />

combining decision analysis and<br />

400–3<br />

scenario thinking 400<br />

scenarios, using in decision making<br />

383–7<br />

Schell, G.P. 235<br />

Schkade, D.A. 118<br />

Schoemaker, P.J.H. 368–9, 370–1, 372<br />

Seaver, D.A. 284, 315<br />

self-correcting chance 256<br />

Selling, T.I. 451<br />

semi-lexicographic strategy 18–19<br />

sensitivity analysis 99, 343–4, 454<br />

of analytic hierarchy process 419–20<br />

of scenario planning 408–9<br />

of simulation 186–8<br />

for weights of turnover 47–8<br />

sequential decision making 3, 20–1<br />

Shafir, E. 21, 22<br />

Shepanski, A. 451<br />

Shephard, G.G. 277<br />

Shortcliffe, E.H. 430<br />

Simon, Herbert A. 16, 20, 21<br />

simple average 312, 315<br />

simulation, application to investment<br />

decisions 197–204<br />

Singh, C. 190<br />

single-attribute utility 102–8<br />

single-event probabilities 267–8<br />

Slovic, P. 121<br />

SMART (Simple Multi-attribute Rating<br />

Technique) 6, 7, 8, 9, 10, 27–58,<br />

420, 403, 458<br />

benefits of additive model 43–4<br />

intuitive vs analytic results 51–3<br />

office location problem 29–30<br />

option performance on attributes<br />

34–9<br />

stages in analysis 30–1<br />

variants 53–4<br />

weights of attributes 40–3<br />

smart cards 9<br />

SMARTER 457, 54–7, 402<br />

Smedslund, J. 264<br />

Sniezek, J. 269<br />

solvability axiom 49<br />

Spetzler, C.S. 234, 277, 278, 284<br />

Stäel von Holstein, C.A. 277, 278, 284<br />

standard deviation 191, 212–13<br />

statistical models of judgments 447–52<br />

status quo scenario 382, 387<br />

Staw, B.M. 365<br />

Stevenson, T.H. 434, 436<br />

Stewart, T.R. 57<br />

stochastic dominance 192–5<br />

first-degree 192–3<br />

second-degree 193–5<br />

Strassman, P.A. 203<br />

strategic inertia 361–3, 364, 371<br />

strategic misrepresentation 348<br />

structuring phase of probability<br />

assessment 278–9<br />

subjective approach to probability<br />

75–6<br />

substitution axiom 113–14<br />

summation axiom 49<br />

swing weights 41<br />

SWOT analysis 434<br />

synectics 303<br />

take the last strategy 17<br />

technology serves scenario 297, 398<br />

Thaler, R.H. 118, 360<br />

Thomas, H. 71, 153, 189, 196, 284, 293<br />

thought experiment 15<br />

Tocher, K.D. 120<br />

tornado diagram 187, 302–3<br />

transitivity 19<br />

transitivity axiom 49, 113<br />

Tukey, J.W. 151<br />

Tull, D.S. 236<br />

Tversky, A. 22, 118, 121, 250–1, 254,<br />

257, 259, 260, 261, 263, 287, 364,<br />

368, 379<br />

Ulvila, J.W. 152<br />

unaided decision making 15<br />

unbiased testing 222<br />

uncertainty 3<br />

sources of 298–300<br />

uncertainty management 297–306<br />

unconflicted adherence 371–2<br />

unequal probability axiom 114–15<br />

unions axiom 89<br />

unrepresentative decision makers 265<br />

utility 29<br />

aggregation 317–19<br />

axiom of 113–16<br />

decision tree and 149<br />

expected 106–8, 155<br />

multi-attribute 123–32<br />

single-attribute 102–8<br />

usefulness of 119–23

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