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An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information.

, , , and . Inf. Sci., (2022)

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On modeling vagueness and uncertainty in data-to-text systems through fuzzy sets., and . CoRR, (2017)A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence., , , and . IEEE Access, (2021)A model based on computational perceptions for the generation of linguistic descriptions of data., , , and . FUZZ-IEEE, page 1-8. IEEE, (2015)Declarative computational perceptions networks for automatically generating excerpts in computer games by using Bousi Prolog., and . FUZZ-IEEE, page 1-6. IEEE, (2017)An exploration of the semantic knowledge in vector models: polysemy, synonymy and idiomaticity., , , and . SEPLN (Projects and Demonstrations), volume 3224 of CEUR Workshop Proceedings, page 35-38. CEUR-WS.org, (2022)Generation and Evaluation of Factual and Gounterfaetual Explanations for Decision Trees and Fuzzy Rule-based Classifiers., , , and . FUZZ-IEEE, page 1-8. IEEE, (2020)An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information., , , and . Inf. Sci., (2022)VICLEO: A visualization tool for representing the semantic field of statements., , and . FUZZ-IEEE, page 1-6. IEEE, (2017)On the analysis of set-based fuzzy quantified reasoning using classical syllogistics., , and . Fuzzy Sets Syst., (2013)Towards fuzzy lexical reasoning., and . J. Intell. Fuzzy Syst., 32 (3): 2425-2436 (2017)