Multi-criteria decision making problems are often associated with trade-offs between performances of the available alternative solutions under the considered decision making criteria. These problems become more complex when uncertainty is associated. This paper applies a Monte-Carlo multi-criteria decision making method for solving the California\u27s Sacramento-San Joaquin Delta problem in which the best alternative for exporting water from the Delta should be selected based on two main criteria, namely the economic cost and environmental performance. To deal with the uncertainty involved, the stochastic decision making problem is converted into numerous deterministic problems through a Monte-Carlo selection. Each deterministic problem is ...
Environmental decision-making in offshore oil and gas (OOG) operations can be extremely complex due ...
The choice among alternative water supply sources is generally based on the fundamental objective of...
This research develops an interactive algorithm for solving a class of multi-objective decision prob...
Multi-criteria decision making problems are often associated with trade-offs between performances of...
This paper suggests modeling multi-criteria problems as strategic games and solving them using non-c...
Game theory provides a useful framework for studying Multi-Criteria Decision Making problems. This p...
Game theory provides a useful framework for studying Multi-Criteria Decision Making problems. This p...
The Sacramento-San Joaquin Delta is the major hub of water supply and is central to the ecosystem of...
Multi-Criteria Decision Making (MCDM) problems are often associated with tradeoffs between performan...
This paper develops a stochastic fuzzy decision making method to solve a class of decision making pr...
This paper presents a new methodology to recommend the most suitable Multi-Criteria Decision Making ...
One-criterion decision making under uncertainty (1-DM/U) is related to situations in which the decis...
Watershed ecosystems consist of numerous resources which have important environmental, social, cultu...
Planning, design and operational decisions are made under complex circumstances of multiple objectiv...
The paper concerns multicriteria decision making under uncertainty with scenario planning. This topi...
Environmental decision-making in offshore oil and gas (OOG) operations can be extremely complex due ...
The choice among alternative water supply sources is generally based on the fundamental objective of...
This research develops an interactive algorithm for solving a class of multi-objective decision prob...
Multi-criteria decision making problems are often associated with trade-offs between performances of...
This paper suggests modeling multi-criteria problems as strategic games and solving them using non-c...
Game theory provides a useful framework for studying Multi-Criteria Decision Making problems. This p...
Game theory provides a useful framework for studying Multi-Criteria Decision Making problems. This p...
The Sacramento-San Joaquin Delta is the major hub of water supply and is central to the ecosystem of...
Multi-Criteria Decision Making (MCDM) problems are often associated with tradeoffs between performan...
This paper develops a stochastic fuzzy decision making method to solve a class of decision making pr...
This paper presents a new methodology to recommend the most suitable Multi-Criteria Decision Making ...
One-criterion decision making under uncertainty (1-DM/U) is related to situations in which the decis...
Watershed ecosystems consist of numerous resources which have important environmental, social, cultu...
Planning, design and operational decisions are made under complex circumstances of multiple objectiv...
The paper concerns multicriteria decision making under uncertainty with scenario planning. This topi...
Environmental decision-making in offshore oil and gas (OOG) operations can be extremely complex due ...
The choice among alternative water supply sources is generally based on the fundamental objective of...
This research develops an interactive algorithm for solving a class of multi-objective decision prob...