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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 12
ARTIFICIAL INTELLIGENCE AND CIVIL ENGINEERING Edited by: B.H.V. Topping
Paper IV.5
Repairability Assessment of Damaged Foundations F.C. Hadipriono and W.E. Wolfe
Department of Civil Engineering, Ohio State University, Columbus, Ohio, USA F.C. Hadipriono, W.E. Wolfe, "Repairability Assessment of Damaged Foundations", in B.H.V. Topping, (Editor), "Artificial Intelligence and Civil Engineering", Civil-Comp Press, Edinburgh, UK, pp 137-141, 1991. doi:10.4203/ccp.12.4.5
Abstract
Repairability assessment of foundations is often performed by experts through the use of linguistic expressions. Despite the qualitative nature of these expressions, the Fuzzy Modus Ponens Deduction (FMPD) technique can be used to quantify the graphically solve foundation repairability problems. This technique can be used to partially match an evidence concerning failure mechanisms of damaged foundations to an established production rule. In this paper, the authors employed the newly developed angular fuzzy set models to assess the repairability of damaged foundations. An illustration is presented here.
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