Basic overview of the quantification approach

In the real world, decision-making often takes place in an environment characterized by uncertainty, imprecision or incompleteness when it comes to the consequences of possible actions (Bellman Zadeh, 1970 B-141). Imprecision is usually handled by employing techniques of probability theory or using means provided by control or information theory (Montero et al, 2007 340). However, by utilizing such theories, imprecision is considered to be equal to randomness (Bellman Zadeh, 1970 B- 

For the relevance of fuz logic to decision theory refer to Rommelfanger (1994). 

Summaries of the comprehensive work of L. A. Zadeh are provided by Zadeh (1987) and Zadeh 

In fact, the traditional, Boolean-based, set theory with either a completely affirmed or a completely denied membership marks the borderline case of fuzzy set theory (Grauel, 1995 1). 

3 Methodological fundamentals of the research on the value determination of SCIs 

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