Synthesis of insightful algorithms

"A methodology is developed for the synthesis of Insightful Algorithms. We define ""Insightful Algorithm"" as an analog of a biological system which is capable of fusing environmental observations with multiple predictive models of its process and/or its relationship to its environment, in the form of a Generalized Body of Evidence, which it then uses to respond to contingencies. These combine probability density functions arising from the environmental observations and the sensors measurements, to membership functions representing the expectations of the system's models. This couples Probability Theory to Fuzzy Set Theory, and uses Zadeh's concept of the probability of a Fuzzy event. Estimation of the future performance level uses a methodology based on the Algebra of Logic and Measure Theory where exact analytical representations of the fuzzy logical operations are derived."

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Nuclear, Plasma, and Radiological Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Lee, Gi Won

Contributors dc:contributor

• Ragheb, Magdi

• Engineering, Nuclear
• Computer Science

Statement dc:rights

• Copyright 1992 Lee, Gi Won

Language dc:language

eng

Identifier

AAI9215845
(UMI)AAI9215845

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22593