Results 31 to 40 of about 20,058 (280)
Vagueness, Logic and Use: Four Experimental Studies on Vagueness [PDF]
, 2011 Although arguments for and against competing theories of vagueness often appeal to claims about the use of vague predicates by ordinary speakers, such claims are rarely tested. An exception is Bonini et al. (1999), who report empirical results on the use
Hargreaves, Ian +2 more
core +1 more source
On Fuzzy Negations Generated by Fuzzy Implications
Formalized Mathematics, 2020 Summary We continue in the Mizar system [2] the formalization of fuzzy implications according to the book of Baczyński and Jayaram “Fuzzy Implications” [1]. In this article we define fuzzy negations and show their connections with previously defined fuzzy implications [4] and [5] and triangular norms and conorms [6].
openaire +2 more sources
International Journal of Computational Intelligence Systems, 2017 In this work, the axiomatical definition of similarity measure, distance measure and inclusion measure for interval-valued intuitionistic fuzzy soft set (IVIFSSs) are given.
Yaya Liu +3 more
doaj +1 more source
Scientific Reports, 2022 Failure mode and effects analysis (FMEA) has been widely used for potential risk modeling and management. Expert evaluation is used to model the risk priority number to determine the risk level of different failure modes.
Yusong Yuan, Yongchuan Tang
doaj +1 more source
A Fuzzy Take on the Logical Issues of Statistical Hypothesis Testing
Philosophies, 2021 Statistical Hypothesis Testing (SHT) is a class of inference methods whereby one makes use of empirical data to test a hypothesis and often emit a judgment about whether to reject it or not. In this paper, we focus on the logical aspect of this strategy,
Matthew Booth, Fabien Paillusson
doaj +1 more source
Some geometrical methods for constructing contradiction measures on Atanassov's intuitionistic fuzzy sets [PDF]
, 2011 Trillas et al. (1999, Soft computing, 3 (4), 197–199) and Trillas and Cubillo (1999, On non-contradictory input/output couples in Zadeh's CRI proceeding, 28–32) introduced the study of contradiction in the framework of fuzzy logic because of the ...
Blyth T. +12 more
core +2 more sources
Ordinal Sums of De Morgan Triples
Trends in Computational and Applied Mathematics, 2018 In this paper we consider the ordinal sum of the summands (a_i, b_i, T_i) ((a_i, b_i, S_i)), where (T_i)_{i\in I}$ $((S_i)_{i\in I}) are a family of t-(co)norms and $(]a_i, b_i[)_{i\in I}$ a family of nonempty, pairwise disjoint open subintervals of [0,1]
Ivan Mezzomo, Benjamin Bedregal
doaj +1 more source
An Application of Classical Logic’s Laws in Formulas of Fuzzy Implications
Journal of Mathematics, 2020 The crucial role that fuzzy implications play in many applicable areas was our motivation to revisit the topic of them. In this paper, we apply classical logic’s laws such as De Morgan’s laws and the classical law of double negation in known formulas of ...
Dimitrios S. Grammatikopoulos +1 more
doaj +1 more source
An Algorithm for Producing Fuzzy Implications via Conical Sections
AlgorithmsIn the present study, a novel parametric family of fuzzy implications is introduced and its properties are examined. The parametric family of implications is produced only via a fuzzy negation.
Ioannis Karampinis +3 more
doaj +1 more source
Mathematics, 2020 Multi-criteria decision making (MCDM) refers to the decision making in the limited or infinite set of conflicting schemes. At present, the general method is to obtain the weight coefficients of each scheme based on different criteria through the expert ...
Chao Sun, Shiying Li, Yong Deng
doaj +1 more source