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Title: A fuzzy mathematics model for radioactive waste characterization by process knowledge

Technical Report ·
OSTI ID:111635
;  [1];  [2];
  1. Science Applications International Corporation, Oak Ridge, TN (United States)
  2. Martin Marietta Energy Systems, Inc., Oak Ridge, TN (United States)

Fuzzy mathematics and fuzzy logic are means for making decisions that can integrate complicated combinations of hard and soft factors and produce mathematically validated results that can be independently verified. In this particular application, several sources of information regarding the waste stream have been compiled, including facility operating records, other waste generated from the facility in the past, laboratory analysis results, and interviews with facility personnel. A fuzzy mathematics model is used to interrelate these various sources of information and arrive at a defensible estimate of the contaminant concentration in the final waste product. The model accounts for the separate process knowledge-based contaminant concentrations by providing a weighted averaging technique to incorporate information from the various sources. Reliability estimates are provided for each of the component pieces of information and combined using the model into an estimate that provides a near-probabilistic value for contaminant concentration. The speadsheet accounts for the estimated uncertainty in the concentration on the basis of {open_quotes}reliability curves,{close_quotes} which are derived from personal process knowledge as well as limited independent measurements.

Research Organization:
Univ. of Arizona, Tucson, AZ (United States). Coll. of Engineering and Mines; New Mexico State Univ., Las Cruces, NM (United States); Waste-Management Education and Research Consortium (WERC), Las Cruces, NM (United States); US Department of Energy (USDOE), Washington DC (United States)
OSTI ID:
111635
Report Number(s):
CONF-940225-Vol.3; TRN: 95:021731
Resource Relation:
Conference: Waste management `94: working towards a cleaner environment, Tucson, AZ (United States), 27 Feb - 3 Mar 1994; Other Information: PBD: 1994; Related Information: Is Part Of Technology and programs for Radioactive Waste Management and Environmental Restoration. Volume 3; Post, R.G. [ed.] [Arizona Univ., Tucson, AZ (United States). Coll. of Engineering and Mines]; PB: 857 p.
Country of Publication:
United States
Language:
English