Zobrazeno 1 - 10
of 408
pro vyhledávání: '"Linear partial information"'
Autor:
Peter Zweifel
Publikováno v:
Data Science in Finance and Economics, Vol 2, Iss 1, Pp 1-16 (2022)
This contribution aims to expand insurability using partial linear information (LPI) on probabilities of the type, $ {r}_{1}\ge {r}_{3} $ (with $ {r}_{1}+{r}_{2}+{r}_{3}+\dots {r}_{n} = {1} $). LPI theory permits to exploit such weak information for
Externí odkaz:
https://doaj.org/article/596630ec52404501ace979ccfc44f4d6
Autor:
Hongguang Chen, Zhongjun Wang
Publikováno v:
Water Supply, Vol 21, Iss 5, Pp 2139-2157 (2021)
The urban water shortage crisis around the world is increasing. In this study, an inexact multi-stage interval-parameter partial information programming model (IMIPM) is proposed for urban water resources planning and management under uncertainties.
Externí odkaz:
https://doaj.org/article/66a02cafa1cc47cfb5930a53eaa2f1d4
Akademický článek
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Autor:
Michalska, Ewa
Publikováno v:
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie / Cracow Review of Economics and Management. 898(22):17-26
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=188494
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zhongjun Wang, Hongguang Chen
Publikováno v:
Water Supply, Vol 21, Iss 5, Pp 2139-2157 (2021)
The urban water shortage crisis around the world is increasing. In this study, an inexact multi-stage interval-parameter partial information programming model (IMIPM) is proposed for urban water resources planning and management under uncertainties.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0fce1e9efb2e68a736d6011ff009cfb
https://doi.org/10.2166/ws.2020.265
https://doi.org/10.2166/ws.2020.265
Autor:
Xinshun Ma, Yunpeng Luo
Publikováno v:
Journal of Applied Mathematics and Physics. :1016-1030
Considering that the probability distribution of random variables in stochastic programming usually has incomplete information due to a perfect sample data in many real applications, this paper discusses a class of two-stage stochastic programming pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d23e2e8d5f8c4e2dc42b3742c0fec3fa
https://doi.org/10.4236/jamp.2020.86079
https://doi.org/10.4236/jamp.2020.86079
Autor:
Peter Zweifel
This contribution evokes Orio Giarini’s courage to think ‘outside the box’. It proposes a practical way to bridge the gap between risk (where probabilities of occurrence are fully known) and uncertainty (where these probabilities are unknown).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c6e9c17bf0a371993ca2a7c7c8d06d
Autor:
Xin Liu, Xinshun Ma
Publikováno v:
Journal of Applied Mathematics and Physics. :1111-1119
Stochastic quadratic programming with recourse is one of the most important topics in the field of optimization. It is usually assumed that the probability distribution of random variables has complete information, but only part of the information ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7f15aaaaa7a44d7120aa6a3f18fe3a6
https://doi.org/10.4236/jamp.2018.65095
https://doi.org/10.4236/jamp.2018.65095
Autor:
Zhongliang Yue, Y. Jia
Publikováno v:
Scientia Iranica. 24:1505-1518
Group Decision Making (GDM) is usually used for solving complex decision problems, which is an important part of modern decision science. Weight of the Decision Maker (DM) plays an important role in the GDM process, and the projection-based approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2f506743a61b0e9a9437b8b460854a9
https://doi.org/10.24200/sci.2017.4131
https://doi.org/10.24200/sci.2017.4131