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On modeling vagueness and uncertainty in data-to-text systems through fuzzy sets
This paper intends to bridge this gap by answering the following questions: What does vagueness mean in fuzzy sets theory?
Characterizing Quantifier Fuzzification Mechanisms: a behavioral guide for practical applications
In this work we will present several criteria conceived to help in the process of selecting the most adequate Quantifier Fuzzification Mechanisms for specific practical applications.
On the analysis of set-based fuzzy quantified reasoning using classical syllogistics
Syllogism is a type of deductive reasoning involving quantified statements.
A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers
In this paper, a new approximate syllogistic reasoning schema is described that expands some of the approaches expounded in the literature into two ways: (i) a number of different types of quantifiers (logical, absolute, proportional, comparative and exception) taken from Theory of Generalized Quantifiers and similarity quantifiers, taken from statistics, are considered and (ii) any number of premises can be taken into account within the reasoning process.
Some Reflections on the Set-based and the Conditional-based Interpretations of Statements in Syllogistic Reasoning
Two interpretations about syllogistic statements are described in this paper.
