TAILIEUCHUNG - Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design - Part 20

Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design - Part 20 studies the combination of various methods of designing for reliability, availability, maintainability and safety, as well as the latest techniques in probability and possibility modelling, mathematical algorithmic modelling, evolutionary algorithmic modelling, symbolic logic modelling, artificial intelligence modelling, and object-oriented computer modelling, in a logically structured approach to determining the integrity of engineering design. . | Analytic Development of Reliability and Performance in Engineering Design 173 Uncertainty and Incompleteness in Engineering Design Analysis Uncertainty and incompleteness is inherent to engineering design analysis. Uncertainty arising from the complex integration of systems can best be expressed in qualitative terms necessitating the results to be presented in the same qualitative measures. This causes problems in analysis based upon a probabilistic framework. The only acceptable framework for an approach to qualitative probability is that of comparative probabilities proposed by Fishburn 1986 but its application is not easy at the practical level because its representational requirements are exponential Cayracetal. 1994 . An important question is to decide what kind of possibility theory or fuzzy logic representation in the form of fuzzy sets is best suited for engineering design analysis. The use of conjunction-based representations is perceived as not suitable from the point of view of logic that is automated because conjunction-based fuzzy rules do not fit well with the usual meaning of rules in artificial intelligence-based expert systems. This is important because it is eventually within an expert system framework that engineering design analysis such as FMEA and FMECA should be established in order to be able to develop intelligent computer automated methodology in determining the integrity of engineering design. The concern raised earlier that qualitative reasoning algorithms may not be suitable for FMEA or FMECA is thus to a large extent not correct. This consideration is based on the premise that the FMEA or FMECA formalism of analysis requires unique predictions of system behaviour and although some vagueness is permissible due to uncertainty it cannot be ambiguous despite the consideration that ambiguity is an inherent feature of computational qualitative reasoning Bull et al. 1995b . Implication-based representations of fuzzy rules may be .

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