Knowledge Structures and Evidential Reasoning in Decision Analysis

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📝 Original Info

  • Title: Knowledge Structures and Evidential Reasoning in Decision Analysis
  • ArXiv ID: 1304.3451
  • Date: 2013-04-15
  • Authors: Researchers from original ArXiv paper

📝 Abstract

The roles played by decision factors in making complex subject are decisions are characterized by how these factors affect the overall decision. Evidence that partially matches a factor is evaluated, and then effective computational rules are applied to these roles to form an appropriate aggregation of the evidence. The use of this technique supports the expression of deeper levels of causality, and may also preserve the cognitive structure of the decision maker better than the usual weighting methods, certainty-factor or other probabilistic models can.

💡 Deep Analysis

Deep Dive into Knowledge Structures and Evidential Reasoning in Decision Analysis.

The roles played by decision factors in making complex subject are decisions are characterized by how these factors affect the overall decision. Evidence that partially matches a factor is evaluated, and then effective computational rules are applied to these roles to form an appropriate aggregation of the evidence. The use of this technique supports the expression of deeper levels of causality, and may also preserve the cognitive structure of the decision maker better than the usual weighting methods, certainty-factor or other probabilistic models can.

📄 Full Content

The roles played by decision factors in making complex subject are decisions are characterized by how these factors affect the overall decision. Evidence that partially matches a factor is evaluated, and then effective computational rules are applied to these roles to form an appropriate aggregation of the evidence. The use of this technique supports the expression of deeper levels of causality, and may also preserve the cognitive structure of the decision maker better than the usual weighting methods, certainty-factor or other probabilistic models can.

Reference

This content is AI-processed based on ArXiv data.

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