Applications of fuzzy-set theory in structural and earthquake engineering
This dissertation addresses the kinds of fuzzy information encountered in structural and earthquake engineering. Methods for presenting, processing, and analyzing fuzzy information by using fuzzy sets are proposed and described. A very efficient method, called the vertex method, is developed using a combination of interval analysis and alpha-cut representation of fuzzy-sets; this method greatly facilitates the computational efforts involved in processing fuzzy information. Furthermore, fuzzy system identification techniques are developed for fitting fuzzy data, aggregating expert opinions, and determining implicit weighting functions. New ways to classify and evaluate data, such as seismic intensity and structural damage data, and to rank and order alternatives with multi-attributes, as when assessing hazardous buildings in seismic regions, are introduced. In particular, a procedure to extract the inference process from an expert's opinion is developed. These new developments are integrated in a knowledge- and rule-based system framework. A seismic-risk-evaluation system, called Fuzzy Risk Assessment system, is built using this framework. The knowledge base in this system is extracted form experts through questionnaires, and an internal validation shows that the system assessment agrees with the one from independent experts.
- Research Organization:
- Stanford Univ., CA (USA)
- OSTI ID:
- 6967869
- Country of Publication:
- United States
- Language:
- English
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