Coefficients of Relations for Probabilistic Reasoning
Silvio Ursic
TL;DR
This paper reviews and defines numerical coefficients used to quantify relations among objects, aiding approximate knowledge representation and probabilistic reasoning.
Contribution
It provides clear definitions, notations, and historical context for coefficients used in probabilistic reasoning and relation quantification.
Findings
Clarifies definitions and notations for key coefficients.
Provides historical references for these coefficients.
Facilitates better understanding of probabilistic relation measures.
Abstract
Definitions and notations with historical references are given for some numerical coefficients commonly used to quantify relations among collections of objects for the purpose of expressing approximate knowledge and probabilistic reasoning.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · AI-based Problem Solving and Planning · Multi-Criteria Decision Making