| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000330087 |
| 005 | | 20241023134843 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438144248 |
| 035 | |
▼a (MiAaPQ)AAI10744704 |
| 035 | |
▼a (MiAaPQ)umd:18761 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 519 |
| 100 | 1 |
▼a Jie, Cheng. |
| 245 | 10 |
▼a Decision Making Under Uncertainty: New Models and Applications. |
| 260 | |
▼a [S.l.] :
▼b University of Maryland, College Park.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 146 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Michael C. Fu. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Maryland, College Park, 2018. |
| 520 | |
▼a In the settings of decision-making-under-uncertainty problems, an agent takes an action on the environment and obtains a non-deterministic outcome. Such problem settings arise in various applied research fields such as financial engineering, bus |
| 520 | |
▼a Typically, the criterion for selecting an optimal action/policy is a performance measure, determined jointly by the agent's preference and the random mechanism of the agent's surrounding environment. The random mechanism is reflected through a r |
| 520 | |
▼a Many decision-making-under-uncertainty problems formulate the performance measure objective function and develop optimization schemes on that objective function. Although the idea on the high-level seems straightforward, there are many challenge |
| 520 | |
▼a The thesis studies a special class of performance measure defined based on Cumulative Prospect Theory (CPT), which has been used as an alternative to expected-utility based performance measure for evaluating human-centric systems. The first part |
| 590 | |
▼a School code: 0117. |
| 650 | 4 |
▼a Applied mathematics. |
| 650 | 4 |
▼a Mathematics. |
| 650 | 4 |
▼a Operations research. |
| 690 | |
▼a 0364 |
| 690 | |
▼a 0405 |
| 690 | |
▼a 0796 |
| 710 | 20 |
▼a University of Maryland, College Park.
▼b Applied Mathematics and Scientific Computation. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0117 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996839
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |