NettetA novel method based on Granular computing and optimization model for large-scale group decision-making, considering the original consistency of incomplete hesitant fuzzy linguistic preference relation and improving its consistency without changing semantics during the completion process is proposed. Highly Influenced PDF
Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and ...
Nettet14. sep. 2024 · Linguistic uncertainty is prevalent in electronic health records (EHRs). The ability to handle and preserve uncertainty in natural language is an essential skill for clinicians, facilitating decidability and effective clinical reasoning processes … Nettet10. apr. 2024 · The paper provides the following three key contributions: (1) representing the uncertainty associated with the FMECA experts using fuzzy sets, (2) representing the FMECA experts’ reasoning and risk perception through fuzzy-rule-based reasoning, and (3) applying the proposed fuzzy approach, which is a promissory method to accurately … bridal shop guildford
Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and ...
Nettet4. jun. 2024 · The probabilistic linguistic term set (PLTS) is a powerful technique in representing linguistic evaluations of individuals or groups in the process of decision making. The aim of this paper is to propose a strongly robust method to solve multiexperts multicriteria decision making problems with linguistic evaluations. To enrich the … NettetInterpolated Linguistic Terms: Uncertainty Representation in Feedback Rule Based Fuzzy Systems João Paulo Carvalho José A. B. Tomé INESC - Instituto de Engenharia de Sistemas e Computadores IST – Instituto Superior Técnico R. Alves Redol, 9, 1000-029 LISBOA PORTUGAL Phone: +351.21.3100238 Fax: +351.21.3145843 Nettet19. feb. 2024 · We show that measuring uncertainty in natural language is challenging because of "semantic equivalence" -- different sentences can mean the same thing. To … can the mean be computed for dichotomous data