Results 31 to 40 of about 146,226 (335)
Fuzzy graphs in fuzzy neural networks [PDF]
Proyecciones (Antofagasta)In this paper we observe that, the fuzzy neural network architecture is isomorphic to the fuzzy graph model and the output of a fuzzy neural network with OR fuzzy neuron is equal to the strength of strongest path between the input layer (particular input neuron/neurons) and the out put layer(particular output neuron).
Sameena, K, S. Sunitha, M
openaire +2 more sources
Application of Bipolar Fuzzy Sets in Graph Structures
Applied Computational Intelligence and Soft Computing, 2016 A graph structure is a useful tool in solving the combinatorial problems in different areas of computer science and computational intelligence systems. In this paper, we apply the concept of bipolar fuzzy sets to graph structures.
Muhammad Akram, Rabia Akmal
doaj +1 more source
Constructing fuzzy graphs from examples [PDF]
Intelligent Data Analysis, 1999 Methods to build function approximators from example data have gained considerable interest in the past. Especially methodologies that build models that allow an interpretation have attracted attention. Most existing algorithms, however, are either complicated to use or infeasible for high-dimensional problems.
Berthold, Michael R., Huber, Klaus-Peter
openaire +4 more sources
Vertex-strength of fuzzy graphs
International Journal of Mathematics and Mathematical Sciences, 2006 The fuzzy coloring of a fuzzy graph was defined by the authors in Eslahchi and Onagh (2004). In this paper we define the chromatic fuzzy sum and strength of fuzzy graph. Some properties of these concepts are studied.
Changiz Eslahchi, B. N. Onagh
doaj +1 more source
Operations on Intuitionistic Fuzzy Graph Structures
Fuzzy Information and Engineering, 2016 An intuitionistic fuzzy graph structure (IFGS) is a generalization of an intuitionistic fuzzy graph. The concept of intuitionistic fuzzy graph structure is introduced and investigated in this paper.
Muhammad Akram, Rabia Akmal
doaj +1 more source
Ratio Mathematica, 2023 The idea of fuzzy graphs is crucial for dealing with uncertainty in day-to-day living situations. In this work, we have a present a work fuzzy graph associates with robustness model that’s easy, flexible, and simple.
A. Sudha, Dr. P. Sundararajan
doaj +1 more source
Evidential Communities for Complex Networks [PDF]
, 2014 Community detection is of great importance for understand-ing graph structure in social networks. The communities in real-world networks are often overlapped, i.e. some nodes may be a member of multiple clusters.
G. Palla +9 more
core +4 more sources
Weighted Graphs and Fuzzy Graphs
, 2023 It has been shown in literature that in the two-dimensional case, the lattices of truth values considered are pairwise isomorphic, and so are the corresponding families of fuzzy sets. Therefore, each result for one of these types of fuzzy sets can be directly rewritten for each (isomorphic) type of fuzzy sets.
Mathew, Sunil +2 more
openaire +2 more sources
Fuzzy Graph Structures with Application
Mathematics, 2019 In this article, we introduce the notions of maximal products of fuzzy graph structures, regular fuzzy graph structures, and describe these notions with examples and properties.
Muzzamal Sitara +2 more
doaj +1 more source
Novel fuzzy logic controllers with self-tuning capability [PDF]
, 2009 Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the ...
Lotfi, A, Teng, FC, Tsoi, AC
core +1 more source