Experience-based evaluations, i.e., evaluations resulting from what one has learned or understood about a particular topic by experience, are an important component in modern information management. This is especially the case when data from social media or crowdsourcing are involved. In this paper, techniques for handling and comparing experience-based (fuzzy) evaluations are proposed and studied. Since such evaluations could be fairly subjective, their comparison could be affected not only by the magnitude of each appraisal, but also by its context – herein, by ‘context of an evaluation’ is meant the conditions that arise when the evaluation is carried out, which mainly depend on the experience of an evaluator about the topic under consideration. Therefore, to characterize in a better way the connotative meaning in each experience-based evaluation, an augmented appraisal degree, AAD for short, is proposed as a novel generalization of a membership (or non-membership) degree. Along with the definition of an AAD, an augmented framework is described. The augmented framework includes several concepts, operators and functions that support different methods of computation with (collections of) AADs. We pay special attention to the description, use, potential benefits and applications of this augmented framework.
['Marcelo Loor', 'Guy De Tré']
On the need for augmented appraisal degrees to handle experience-based evaluations