Evaluation of high-level waste pretreatment processes with an approximate reasoning model

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The development of an approximate-reasoning (AR)-based model to analyze pretreatment options for high-level waste is presented. AR methods are used to emulate the processes used by experts in arriving at a judgment. In this paper, the authors first consider two specific issues in applying AR to the analysis of pretreatment options. They examine how to combine quantitative and qualitative evidence to infer the acceptability of a process result using the example of cesium content in low-level waste. They then demonstrate the use of simple physical models to structure expert elicitation and to produce inferences consistent with a problem involving waste ... continued below

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16 p.

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Bott, T.F.; Eisenhawer, S.W. & Agnew, S.F. April 1, 1999.

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Description

The development of an approximate-reasoning (AR)-based model to analyze pretreatment options for high-level waste is presented. AR methods are used to emulate the processes used by experts in arriving at a judgment. In this paper, the authors first consider two specific issues in applying AR to the analysis of pretreatment options. They examine how to combine quantitative and qualitative evidence to infer the acceptability of a process result using the example of cesium content in low-level waste. They then demonstrate the use of simple physical models to structure expert elicitation and to produce inferences consistent with a problem involving waste particle size effects.

Physical Description

16 p.

Notes

INIS; OSTI as DE99002218

Source

  • Waste management `99 symposium, Tucson, AZ (United States), 28 Feb - 4 Mar 1999

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  • Other: DE99002218
  • Report No.: LA-UR--99-522
  • Report No.: CONF-990201--
  • Grant Number: W-7405-ENG-36
  • DOI: 10.2172/334243 | External Link
  • Office of Scientific & Technical Information Report Number: 334243
  • Archival Resource Key: ark:/67531/metadc688171

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • April 1, 1999

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Feb. 29, 2016, 9:02 p.m.

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Bott, T.F.; Eisenhawer, S.W. & Agnew, S.F. Evaluation of high-level waste pretreatment processes with an approximate reasoning model, report, April 1, 1999; New Mexico. (digital.library.unt.edu/ark:/67531/metadc688171/: accessed October 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.