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Decision-making processes in organizations: a logical-semiotic perspective

We present, first, a hybrid-decision support system where a heuristic-data mining procedure is embedded to the original system. Using Peircean terminology, one of the main roles of this heuristic-data mining method is to evaluate n-ary predicates (i.e., quantitative variables, crisp or vague-fuzzy; and qualitative variables, precise or ambiguous) involved in the different types of decisions and meta-decisions presented in a decision-making process for a financial organization. After defining decisions from a logical-semiotic point of view, as a special type of inferential processes where meaning plays a fundamental role, examples of decisions (i.e., logical, emotional, and energetic or having the capacity for action), are discussed.