Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Helena Gaspars-Wieloch"'
Publikováno v:
Operations Research and Decisions, Vol vol. 34, Iss no. 1, Pp 131-148 (2024)
The paper aims to improve a simple additive weighting method (SAW) and the max-min rule designed for M-DMC (multi-13 criteria decision making under certainty) based on already developed extensions for the Laplace and Wald rules (applied to one-criter
Externí odkaz:
https://doaj.org/article/293ef69271dd4544bb4faf5eb12a61f2
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Operations Research and Decisions, Vol vol. 33, Iss no. 2, Pp 23-34 (2023)
TOPSIS is a well-known approach applied to multi-criteria decision-making under certainty (M-DMC). However, recently, some analogies between this domain and scenario-based one-criterion decision-making under uncertainty (1-DMU) have been revealed in
Externí odkaz:
https://doaj.org/article/1ba9130a6c6f4aec9d6a2e644f7ba87f
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Entropy, Vol 24, Iss 1, p 51 (2021)
Goal programming (GP) is applied to the discrete and continuous version of multi-criteria optimization. Recently, some essential analogies between multi-criteria decision making under certainty (M-DMC) and scenario-based one-criterion decision making
Externí odkaz:
https://doaj.org/article/b2d1a7a728b940f981010f2b373cf653
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Croatian Operational Research Review, Vol 8, Iss 1, Pp 61-76 (2017)
This paper is concerned with games against nature and multi-criteria decision making under uncertainty along with scenario planning. We focus on decision problems where a deterministic evaluation of criteria is not possible. The procedure we propose
Externí odkaz:
https://doaj.org/article/21fdd17ef2a54bc8a44be5cd4295b871
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Risks, Vol 9, Iss 1, p 25 (2021)
The assignment problem (AP) is a discrete and combinatorial problem where agents are assigned to perform tasks for efficiency maximization or cost (time) minimization. AP is a part of human resource project management (HRPM). The AP optimization mode
Externí odkaz:
https://doaj.org/article/a47d1e199b8043b19f9c75d129ab36fd
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Croatian Operational Research Review, Vol 6, Iss 1, Pp 181-194 (2015)
The Omega ratio (Ω-ratio) was proposed by Shadwick and Keating in 2002 as a performance measure applied to rankings of assets, portfolios or funds. It involves partitioning returns into loss and gain below and above a given threshold. The original v
Externí odkaz:
https://doaj.org/article/78f612f9695e49238101022c285dff20
Publikováno v:
Operations Research and Decisions, Vol vol. 21, Iss no. 1, Pp 5-18 (2011)
Time-cost tradeoff analysis is a very important issue in project management. The Kaufmann–Desbazeille algorithm is considered by numerous authors to be an exact algorithm to solve this problem. In the paper, we prove that this claim is not true. In
Externí odkaz:
https://doaj.org/article/9b55bdb4d39f431e9acab63eea9aa8b6
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Business, Management and Education, Vol 12, Iss 2 (2014)
The paper concerns multicriteria decision making under uncertainty with scenario planning. This topic is explored by many researchers because almost all real-world decision problems have multiple conflicting criteria and a deterministic criteria eval
Externí odkaz:
https://doaj.org/article/20422252d41e4884918ae324445527d8
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Central European Journal of Operations Research.
The interactive programming (IP) using aspiration levels is a well-known method applied to multi-criteria decision making under certainty (M-DMC). However, some essential analogies between M-DMC and scenario-based one-criterion decision making under
Autor:
Helena Gaspars-Wieloch
Publikováno v:
Economics and Business Review, Vol 7, Iss 2, Pp 17-36 (2021)
One-criterion decision making under uncertainty (1-DM/U) is related to situations in which the decision maker (DM) evaluates the alternatives on the basis of one objective, but e.g. due to numerous uncertain future factors some parameters of the prob