نتایج جستجو برای: Bayesian decision making tool
تعداد نتایج: 937802 فیلتر نتایج به سال:
application of bayesian decision making tool in detecting oil-water contact in a carbonate reservoir
detection of oil-water contacts (owcs) is one of the primary tasks before evaluation of reservoir’s hydrocarbon in place, determining net pay zones and suitable depths for perforation operation. this paper introduces bayesian decision making tool as an effective technique in owc detecting using wire line logs. to compare strengths of the suggested method in detecting owc with conventional one, ...
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
Application of Bayesian decision making tool in detecting oil-water contact in a carbonate reservoir
Detection of Oil-Water Contacts (OWCs) is one of the primary tasks before evaluation of reservoir’s hydrocarbon in place, determining net pay zones and suitable depths for perforation operation. This paper introduces Bayesian decision making tool as an effective technique in OWC detecting using wire line logs. To compare strengths of the suggested method in detecting OWC with conventional one, ...
As a compact representation of joint probability distributions over dependence graph random variables, and tool for modelling reasoning in the presence uncertainty, Bayesian networks are great importance artificial intelligence to combine domain knowledge, capture causal relationships, or learn from incomplete datasets. Known as NP-hard problem classical setting, inference pops up class algorit...
this study considers the level of increase in customer satisfaction by supplying the variant customer requirements with respect to organizational restrictions. in this regard, anp, qfd and bgp techniques are used in a fuzzy set and a model is proposed in order to help the organization optimize the multi-objective decision-making process. the prioritization of technical attributes is the result ...
Bayesian network has been a successful tool in the decision support systems. In the changing world, the decision making demands adaptive Bayesian methods that are composed of Bayesian inferential and learning approaches. To achieve this goal, we propose a kind of grid-enabled Bayesian networks that intend to gridify Bayesian inferential and learning methods when the advanced grid computing tech...
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