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Fuzzy Parameterization of Bulgaria's Nuclear Policy Decision

Volume 1, Number 2, October 2005 - Paper 6  - pp. 167 - 178

André Maïsseu & Wang Xingquan

Grenoble Ecole de Management, Grenoble, France
GREGOR, Université Paris I Panthéon – Sorbonne, Paris, France

(Received on October 4, 2004)


The preference aggregation is one of the most important components in multiple criteria decision making analysis. It is generally possible to select some relevant models in accordance with different contexts, thanks to many methods open to us. Fuzzy logic theory constitutes an intuitive and algorithmic approach when different criterions are so heterogeneous that no classical method could satisfactorily deal with such problem. Fuzzy rules perform tradeoffs by involving expert judgments and translating linguistic expressions into mathematical computations. The outranking approach, another method involving sometimes the logic of fuzzy set theory, homogenizes qualitatively heterogeneous dimensions. These two methods could be fairly attractive in nuclear industry related decision making in view of the complexity and stakes implicated. In this article, we apply fuzzy logic to nuclear policy choice in Bulgaria in order to illustrate the scheme of fuzzy decision analysis applications.


References: 10

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