Dynamic stochastic multiattribute decision-making that considers stochastic variable variance characteristics under time-sequence contingency environments
DOI10.1155/2017/7126856zbMath1426.90167OpenAlexW2589975659WikidataQ59147739 ScholiaQ59147739MaRDI QIDQ1993072
Publication date: 5 November 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/7126856
Decision theory (91B06) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) General considerations in statistical decision theory (62C05)
Related Items (1)
Cites Work
- A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers
- Extension of the VIKOR method to dynamic intuitionistic fuzzy multiple attribute decision making
- TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting
- Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices
- Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management
- Dynamic intuitionistic fuzzy multi-attribute decision making
- Multivariate Gaussian criteria in SMAA
- On ordered weighted averaging aggregation operators in multicriteria decisionmaking
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Dynamic stochastic multiattribute decision-making that considers stochastic variable variance characteristics under time-sequence contingency environments