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Based on the study of analytic hierarchy process (AHP), fuzzy comprehensive evaluation and Bayesian network, this paper establishes the multiple objective decision Bayesian network model (MODBN) by use of the method of converting the indexes and their relationships into the nodes and directed edges in Bayesian network. First of all, calculate the prior probabilities of the leaf nodes in MODBN using...
For the life data X in a life test, the Bayesian stopping rule and decision rule for the problem of testing fuzzy statistical hypotheses are given in this paper. The loss function of the model is the sum of the cost of the experiment time and the loss due to wrong decision. In the procedure, the Bayesian stopping rule is determined by the optimal terminated time, and the Bayesian decision rule is...
This paper presents a fuzzy KNN and Bayesian decision based classification method for determining whether a 3D object belongs to human class. To achieve efficiency and simplicity, the view having maximum area is used to substitute a 3D shape, which is front-side view for human models. View features and structural features are utilized to describe those selected views. For shape feature can not distinguish...
Decision-making of landslide treatment schemes is a complex system problem. Basing on information entropy theory and set pair analysis theory, a decision-making model using a concept of approaching degree is described to select a best treatment scheme for landslide disaster in this paper. For each evaluation index, identical degree of set pair between the evaluated scheme and the best scheme is calculated,...
Based on the analysis of the decision-making process of the bus priority transit scheme, this paper makes a study of the decision-making objectively and puts forward a set of decision-making indexes, and then considered the decision-making indexes as the factor set and the scheme as the region; according to the principle of the systems engineering, the paper gets the evaluation index system of the...
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