Dynamical generation of fuzzy extra dimensions, dimensional reduction and symmetry breaking [PDF]
, 2006 We present a renormalizable 4-dimensional SU(N) gauge theory with a suitable multiplet of scalar fields, which dynamically develops extra dimensions in the form of a fuzzy sphere S^2.
A.P. Balachandran +20 more
core +3 more sources
Bayesian regression discontinuity designs: Incorporating clinical knowledge in the causal analysis of primary care data [PDF]
, 2014 The regression discontinuity (RD) design is a quasi-experimental design that estimates the causal effects of a treatment by exploiting naturally occurring treatment rules.
Baio, Gianluca +4 more
core +5 more sources
On Fundamental Theorems of t-Intuitionistic Fuzzy Isomorphism of t-Intuitionistic Fuzzy Subgroups
IEEE Access, 2018 In this paper, we define the concept of the support of t-intuitionistic fuzzy set and prove that it forms a normal subgroup of a given group. We establish a relationship about the normality of any two t-intuitionistic fuzzy subgroups of a group.
Laila Latif +3 more
doaj +1 more source
On commutativity of intuitionistic L-fuzzy groups [PDF]
Notes on IFSIn this paper, we discuss the commutativity of an intuitionistic L-fuzzy subgroup of a group. Some necessary and sufficient conditions for an intuitionistic L-fuzzy subgroup to be commutative are derived.
Poonam Kumar Sharma
doaj +1 more source
On Fundamental Algebraic Characterizations of μ-Fuzzy Normal Subgroups
Journal of Function Spaces, 2022 In this article, we present the study of μ-fuzzy subgroups and prove numerous fundamental algebraic attributes of this newly defined notion. We also define the concept of μ-fuzzy normal subgroup and investigate many vital algebraic characteristics of ...
Ibtisam Masmali +4 more
doaj +1 more source
Cartesian product of intuitionistic fuzzy subgroups [PDF]
Notes on IFSFuzzy sets have become fundamental tools for addressing uncertainty and ambiguity across a wide range of scientific disciplines. A significant development within fuzzy set theory is the emergence of fuzzy subgroups, which adapt fuzzy set principles to ...
Saman Abdurrahman
doaj +1 more source
Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm
, 2015 The paper is focused on the forecasting method for time series groups with the use of algorithms for cluster analysis. $K$-means algorithm is suggested to be a basic one for clustering.
Astakhova, N. N. +2 more
core +1 more source
Serum protein fingerprinting by PEA immunoassay coupled with a pattern-recognition algorithms distinguishes MGUS and multiple myeloma [PDF]
, 2016 Serum protein fingerprints associated with MGUS and MM and their changes in MM after autologous stem cell transplantation (MM-ASCT, day 100) remain unexplored.
Fillerová, Regina +9 more
core +1 more source
A Study of Normal Fuzzy Subgroups and Characteristic Fuzzy Subgroups of a Fuzzy Group [PDF]
Fuzzy Information and Engineering, 2012 \textit{A. Rosenfeld} [in J. Math. Anal. Appl. 35, 512-517 (1971; Zbl 0194.05501)] initiated the study of fuzzy group theory by introducing the concepts of fuzzy subgroupoids and fuzzy subgroups. Then, several authors studied the notion of fuzzy normal subgroups.
Ajmal, Naseem, Jahan, Iffat
openaire +1 more source
Multivariate Approaches to Classification in Extragalactic Astronomy [PDF]
, 2015 Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in ...
Chattopadhyay, Asis Kumar +2 more
core +3 more sources