Results 241 to 250 of about 12,132,749 (292)

Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review. [PDF]

JMIR AI
Jamett J, Melendez P, Collao-Ferrada X, Cordero-Torres K, Veloz A.   +4 more
europepmc   +1 more source

Spherical fuzzy hypergraph in decision making. [PDF]

Sci Rep
Pramanik T, Mahapatra R, Allahviranloo T, Mrsic L, Kalampakas A, Samanta S.   +5 more
europepmc   +1 more source

Multi-Source Perception, Intelligent Decision-Making, and Precision Control for Autonomous Agricultural Systems: A Comprehensive Review. [PDF]

Sensors (Basel)
Zhang S, Zhu Y, Zhao Z, Xu J, Zhang J, Zheng Z.   +5 more
europepmc   +1 more source

Integrated physical education course experience and exercise adherence tendency among undergraduates in Sichuan Province, China: chain mediation and configurational evidence from SEM and fsQCA. [PDF]

Front Psychol
Xia J, Yang YX.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Type 2 Fuzzy Sets: An Appraisal of Theory and Applications

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
This paper provides a guide and tutorial to type 2 fuzzy sets. Type 2 fuzzy sets allow for linguistic grades of membership thus assisting in knowledge representation. They also offer improvement on inferencing with type 1 sets. The various approaches to knowledge representation and inferencing are discussed, with worked examples, and some of the ...
openaire   +2 more sources

A Tour of Type-1 and Interval Type-2 Fuzzy Sets Theory

2020
A succinct review of type-1 basic theory is described in this chapter and should be enough for the reader, who is not familiar with fuzzy set theory, to be able to understand these concepts (Jafelice et al. Teoria dos Conjuntos Fuzzy. Springer Briefs in Mathematics SBMAC (in Portuguese), vol 17, 2nd edn. Springer, Berlin, 2012).
Rosana Sueli da Motta Jafelice, Ana Maria Amarillo Bertone   +1 more
openaire   +1 more source

From Classical to Fuzzy Type Theory

2014
Higher-order logic—the type theory (TT)—is a powerful formal theory that has various kinds of applications, for example, in linguistic semantics, computer science, foundations of mathematics and elsewhere. It was proved to be incomplete with respect to standard models. In fifties and sixties of the last century, L.
openaire   +1 more source

Sea surface temperature clustering based on type-2 fuzzy theory

2010 18th International Conference on Geoinformatics, 2010
Spatial data clustering is an effective method to find interesting spatio-temporal clustering patterns. There are many uncertainties in sea surface temperature (SST) clustering, so clustering methods with uncertainy must be used. Type-2 fuzzy theory takes into account the uncertainty of membership grade while fuzzy C means (FCM) not.
Kun Qin, Lingqiao Kong, Yao Liu 0004, Qizhi Xiao   +3 more
openaire   +2 more sources

$\alpha$-Plane Representation for Type-2 Fuzzy Sets: Theory and Applications

IEEE Transactions on Fuzzy Systems, 2009
This paper 1) reviews the alpha-plane representation of a type-2 fuzzy set (T2 FS), which is a representation that is comparable to the alpha-cut representation of a type-1 FS (T1 FS) and is useful for both theoretical and computational studies of and for T2 FSs; 2) proves that set theoretic operations for T2 FSs can be computed using very simple alpha-
Jerry M. Mendel, Feilong Liu, Daoyuan Zhai   +2 more
openaire   +2 more sources

Fuzzy type theory with partial functions

2019
This paper is a study of fuzzy type theory (FTT) with partial functions. Out of several possibilities we decided tointroduce a special value ”∗” that represents ”undefined”. In the interpretation of FTT, this value lays outside of thecorresponding domain.
openaire   +1 more source