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In this article, the quantified expression of criteria weights in decision-making processes is considered. A decisionmaker is often able to express his or her preferences only linguistically. The concept of fuzzy numbers, or linguisticvariables, is used in order to state these vague preferences. A fuzzy number is considered as one with a triangularmembership function, which renders an approximate value of the weight of a particular criterion according tolinguistic terms about its importance. To set the strict (crisp) value of weights, the optimization model based onthe maximin principle is proposed in two modifications. The proposed approaches are compared with othermethods. Finally, the introduced methods are applied to a rather illustrative but real case of investment decisionmaking in the capital market. The main results are discussed

Fuzzy weights estimation method based on the linguistic expression of criteria relevance