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A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence., , , и . IEEE Access, (2021)An exploration of the semantic knowledge in vector models: polysemy, synonymy and idiomaticity., , , и . SEPLN (Projects and Demonstrations), том 3224 из CEUR Workshop Proceedings, стр. 35-38. CEUR-WS.org, (2022)Generation and Evaluation of Factual and Gounterfaetual Explanations for Decision Trees and Fuzzy Rule-based Classifiers., , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2020)Declarative computational perceptions networks for automatically generating excerpts in computer games by using Bousi Prolog., и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)A model based on computational perceptions for the generation of linguistic descriptions of data., , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2015)Some Reflections on the Set-based and the Conditional-based Interpretations of Statements in Syllogistic Reasoning.. CoRR, (2014)Qualifying and Quantifying Uncertainty in Digital Humanities: A Fuzzy-Logic Approach., , и . TEEM, стр. 788-794. ACM, (2019)Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data., и . IPMU (1), том 853 из Communications in Computer and Information Science, стр. 40-51. Springer, (2018)IAT/ML: A Domain-Specific Approach for Discourse Analysis and Processing., , и . BPMDS/EMMSAD@CAiSE, том 479 из Lecture Notes in Business Information Processing, стр. 199-213. Springer, (2023)A proposal of fuzzy chained syllogism based on the concept of synonymy., , и . FUZZ-IEEE, стр. 1-8. IEEE, (2013)