The objective is to derive contingency factors for evaluating in a realistic way the costs of first-of-the-kind projects in RWM. Two factors are considered in practice, respectively called the P- and the T-factor. The P-factor represents the uncertainties of the project induced by its still incomplete advancement; the T-factor represents the uncertainties caused by the still insufficient technological maturity on which the project is based. A previous conceptual paper concentrated mainly on implementing progressive implication rules of the Goguen type with the two contingency factors as outputs. Input variables for P and T are given on relative scales. The assumption is made that technology expert and project specialists in RWM could provide this information. In the more advanced version discussed in this paper, fuzzy logic is also used front-end for obtaining the two inputs in the course of peer reviews of technology-experts and project-specialists. To that aim, the semantic opinions and past experience of the latter are expressed in the form of conditional and unconditional rules taking a credibility index into account. The objective of this extension of the approach is to have a fully operational and validated Fuzzy Decision Support System (FDSS). The disposal of high-level radioactive waste in a deep repository is used for illustration.
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