Results 21 to 30 of about 863 (259)
The Pythagorean fuzzy number (PFN) consists of membership and non-membership as an extension of the intuitionistic fuzzy number. PFN has a larger ambiguity, and it has a stronger ability to express uncertainty. In the multi-criteria decision-making (MCDM)
Haiyi Mao, Rui Cai
doaj +1 more source
Compensatory fuzzy logic model for impact assessment when implementing ICT in pedagogical scenarios [PDF]
A Pedagogical Scenario is the place where different events take place and serves as an essential framework for the teaching-learning process. It is the space organized and structured in such a way that facilitates access to knowledge, through the ...
P.Yajaira Jadán Solís +4 more
doaj +1 more source
Negación dialéctica y lógica transitiva (I)
In this essay I bring up the issue of how to deal with dialectical views -especialIy with dialectic negation- from the standpoint of a transitive logic, which is a particular paraconsistent logic.
Lorenzo Peña
doaj +1 more source
On Fuzzy Negations Generated by Fuzzy Implications
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
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
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
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
An Application of Classical Logic’s Laws in Formulas of Fuzzy Implications
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
Ordinal Sums of De Morgan Triples
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
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

