Add to ORKGThe work applies methodology of Bayesian multiple participant decision making to a problem of selection of suitable model for use in probabilistic advisory system
This diploma thesis is about Bayesian approach in managerial decision making process. The goal is no...
One employs the mathematical analysis of decision making when the state of nature is uncertain but f...
This paper describes a group decision support system based on an additive multi-attribute utility mo...
A significant class of decision making problems consists of choosing actions, to be carried out simu...
Abstract: The paper concerns a cooperation problem in multiple participant decision making (DM). A f...
Bayesian decision theory provides a strong theoretical basis for a single-participant decision makin...
A textbook and guide to conducting Bayesian decision analysis of sometimes very complex policies and...
Written by one of the world's leading groups in the area of Bayesian identification, control, and de...
Abstract—Decision making in a semistructured or unstructured problem should consist of a combination...
Abstract: Efficient multiple-participant decision making [1] relies on a cooperation of partici-pant...
Bayesian decision-making is a fundamental element of most contemporary marketing research texts. The...
In a wide range of applications, decisions must be made by combining information from multiple agent...
AbstractBayesian approach to decision making is successfully applied in control theory for design of...
Prescriptive Bayesian decision making has reached a high level of maturity, supported by efficient, ...
International audienceThe decision-making context can be characterized by different types of uncerta...
This diploma thesis is about Bayesian approach in managerial decision making process. The goal is no...
One employs the mathematical analysis of decision making when the state of nature is uncertain but f...
This paper describes a group decision support system based on an additive multi-attribute utility mo...
A significant class of decision making problems consists of choosing actions, to be carried out simu...
Abstract: The paper concerns a cooperation problem in multiple participant decision making (DM). A f...
Bayesian decision theory provides a strong theoretical basis for a single-participant decision makin...
A textbook and guide to conducting Bayesian decision analysis of sometimes very complex policies and...
Written by one of the world's leading groups in the area of Bayesian identification, control, and de...
Abstract—Decision making in a semistructured or unstructured problem should consist of a combination...
Abstract: Efficient multiple-participant decision making [1] relies on a cooperation of partici-pant...
Bayesian decision-making is a fundamental element of most contemporary marketing research texts. The...
In a wide range of applications, decisions must be made by combining information from multiple agent...
AbstractBayesian approach to decision making is successfully applied in control theory for design of...
Prescriptive Bayesian decision making has reached a high level of maturity, supported by efficient, ...
International audienceThe decision-making context can be characterized by different types of uncerta...
This diploma thesis is about Bayesian approach in managerial decision making process. The goal is no...
One employs the mathematical analysis of decision making when the state of nature is uncertain but f...
This paper describes a group decision support system based on an additive multi-attribute utility mo...