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D.I. Blockley, "Logical Interference from Uncertain Knowledge in Civil Engineering", in B.H.V. Topping, (Editor), "Proceedings of the Second International Conference on Civil and Structural Engineering Computing", Civil-Comp Press, Edinburgh, UK, pp 185-188, 1985. doi:10.4203/ccp.2.21.3

Abstract

Fuzzy and probability logics are entirely compatible; they have a common set of axioms. If in addition the law of the excluded middle is assumed then the (plus, times) interpretation of (OR, AND) probability logic is obtained. If however an assumption of strong truth functionality is assumed then the (max, min) interpretation of fuzzy logic is obtained. Both of these are special cases of an interval analysis. Some problems with PROLOG are indicated and a Fuzzy Relational Inference Language (FRIL) is described. A preliminary analysis in FRIL of risk and cost benefit for various treatment strategies of a mining problem is briefly described.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 2/3 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON CIVIL AND STRUCTURAL ENGINEERING COMPUTING Edited by: B.H.V. Topping Paper XXI.3 Logical Interference from Uncertain Knowledge in Civil Engineering D.I. Blockley Department of Civil Engineering, University of Bristol doi:10.4203/ccp.2.21.3 purchase the full-text of this paper Full Bibliographic Reference for this paper D.I. Blockley, "Logical Interference from Uncertain Knowledge in Civil Engineering", in B.H.V. Topping, (Editor), "Proceedings of the Second International Conference on Civil and Structural Engineering Computing", Civil-Comp Press, Edinburgh, UK, pp 185-188, 1985. doi:10.4203/ccp.2.21.3 Abstract Fuzzy and probability logics are entirely compatible; they have a common set of axioms. If in addition the law of the excluded middle is assumed then the (plus, times) interpretation of (OR, AND) probability logic is obtained. If however an assumption of strong truth functionality is assumed then the (max, min) interpretation of fuzzy logic is obtained. Both of these are special cases of an interval analysis. Some problems with PROLOG are indicated and a Fuzzy Relational Inference Language (FRIL) is described. A preliminary analysis in FRIL of risk and cost benefit for various treatment strategies of a mining problem is briefly described. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £90 +P&P)
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