Some Mathematical Tools for Decision Making under Partial Knowledge

Hung T. Nguyen
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Hung T. Nguyen: New Mexico State University, Department of Mathematical Sciences

A chapter in Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, 1995, pp 129-156 from Springer

Abstract: Abstract We motivate situations in which knowledge can take different forms. Depending upon the form of the available knowledge (data), appropriate mathematical tools for analysis are considered. These include subjective probabilities, lower probabilities, the Choquet integral, random sets, measure-free representation of conditionals (rules), and rule-based procedures.

Keywords: Probability Measure; Fuzzy Control; Conditional Event; Belief Function; Partial Knowledge (search for similar items in EconPapers)
Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4899-1424-8_8

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DOI: 10.1007/978-1-4899-1424-8_8

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