Results 11 to 20 of about 19,367 (296)
Describing Linguistic Vagueness of Evaluative Expressions Using Fuzzy Natural Logic and Linguistic Constraints [PDF]
Mathematics, 2022 In recent years, the study of evaluative linguistic expressions has crossed the field of theoretical linguistics and has aroused interest in very different research areas such as artificial intelligence, psychology or cognitive linguistics.
Adrià Torrens-Urrutia +2 more
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Vagueness and Formal Fuzzy Logic: Some Criticisms
Logic and Logical Philosophy, 2017 In the common man reasoning the presence of vague predicates is pervasive and under the name “fuzzy logic in narrow sense” or “formal fuzzy logic” there are a series of attempts to formalize such a kind of phenomenon. This paper is devoted to discussing the limits of these attempts both from a technical point of view and with respect the original and ...
Giangiacomo Gerla
semanticscholar +6 more sources
Bridges Between Contextual Linguistic Models of Vagueness and T-Norm Based Fuzzy Logic [PDF]
, 2014 Linguistic models of vagueness usually record contexts of possible precisifications. A link between such models and fuzzy logic is established by extracting fuzzy sets from context based word meanings and by analyzing standard logical connectives in this setting.
Christian G. Fermüller +1 more
semanticscholar +4 more sources
Vagueness in Artificial Intelligence: The ‘Fuzzy Logic’ of AI-Related Patent Claims [PDF]
SSRN Electronic Journal, 2023 AbstractArtificial intelligence is an emerging technology with an average growth rate of 64.70% in patent filings worldwide and 39.71% in Europe between 2015 and 2019, according to Espacenet queries. This trend has raised several concerns regarding the implications for Intellectual Property rights, including disclosure, which is one of the main ...
Rebeca Ferrero Guillén +1 more
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Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness [PDF]
International Journal of Approximate Reasoning, 2007 This paper is directed towards an infrastructure for handling both uncertainty and vagueness in the Rules, Logic, and Proof layers of the Semantic Web. More concretely, we present probabilistic fuzzy description logic programs, which combine fuzzy description logics, fuzzy logic programs (with stratified nonmonotonic negation), and probabilistic ...
Thomas Lukasiewicz, Umberto Straccia
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Inventions, 2021 This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS).
Ahmed Vall Hemeyine +4 more
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A Formal Approach based on Fuzzy Logic for the Specification of Component-Based Interactive Systems [PDF]
Electronic Proceedings in Theoretical Computer Science, 2015 Formal methods are widely recognized as a powerful engineering method for the specification, simulation, development, and verification of distributed interactive systems.
Vasileios Koutsoumpas
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A basic review of fuzzy logic applications in hydrology and water resources
Applied Water Science, 2020 In recent years, fuzzy logic has emerged as a powerful technique in the analysis of hydrologic components and decision making in water resources. Problems related to hydrology often deal with imprecision and vagueness, which can be very well handled by ...
Shruti Kambalimath, Paresh Chandra Deka
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Modelling of time, cost and risk of construction with using fuzzy logic
Journal of Civil Engineering and Management, 2021 The paper presents an overview of the literature from recent years devoted to planning the time, costs and risk of a construction investment using fuzzy logic. It also presents three own original models concerning the issue.
Edyta Plebankiewicz +2 more
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How Can Climate Resilience Be Measured and Visualized? Assessing a Vague Concept Using GIS-Based Fuzzy Logic [PDF]
Sustainability, 2020 As negative impacts of climate change tend to increase in the future, densely-populated cities especially need to take action on being robust against natural hazards. Consequently, there is a growing interest from scientists in measuring the climate resilience of cities and regions.
Mathias Schaefer +2 more
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