Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Applications of Fuzzy Logic for Tritium Sensing Technology

Conference ·
DOI:https://doi.org/10.2172/2406241· OSTI ID:2406241
 [1];  [2];  [2]
  1. Tennessee Technological Univ., Cookeville, TN (United States)
  2. Savannah River National Laboratory (SRNL), Aiken, SC (United States)

Fuzzy Logic is a mathematical method that can represent human-like decisions by analyzing vagueness. The project is a practical approach for evaluating sensors using a fuzzy group best-worst method. Results What is the best sensor? The fuzzy logic methods give an answer to that through a selection system. The relationship between the inputs and the outputs gives consumers an understanding of how the best sensor was found through a scoring of each quality/criteria and their corresponding sub-criteria through expert opinion.

Research Organization:
SRS
Sponsoring Organization:
DOE; EM
DOE Contract Number:
89303321CEM000080
OSTI ID:
2406241
Report Number(s):
SRNL-STI-2024-00291
Country of Publication:
United States
Language:
English

Similar Records

Applications of fuzzy logic and best-worst method for tritium sensor selection
Technical Report · Thu Jul 25 00:00:00 EDT 2024 · OSTI ID:2406473

Applications of fuzzy logic
Conference · Thu Jun 01 00:00:00 EDT 1995 · OSTI ID:55395

Indeterminacy, linguistic semantics and fuzzy logic
Conference · Mon Dec 30 23:00:00 EST 1996 · OSTI ID:466439

Related Subjects