Weighted linear combination and ordered weighted averaging mathematical operators were applied in the evaluation of pedestrian accessibility at the Universidad del Valle, Melendez campus. These operators belong to fuzzy set techniques that permit the evaluation of criteria whose domains are not clearly defined, identifying for these membership levels of selected variables and accepting the aggregation of different types of information. Five evaluation scenarios were considered: pessimistic, moderately pessimistic, neutral, moderately optimistic, and optimistic. For the cartographic visualization of accessibility, the interpolation of the results is carried out by means of the inverse distance weighting method, generating thematic maps for each evaluation scenario. The application of these methods provides an effective tool for the management and analysis of a great range of spatially referenced data in the decision making process.