Results 151 to 160 of about 11,104 (208)

Fuzzy classification of sepsis subtypes and implications for trajectory and treatment. [PDF]

EBioMedicine
Kennedy JN, Iyer S, Nauka PC, Reitz KM, Chang J, Tang L, Yealy D, Angus DC, Amstel RBE, van Vught LA, Seymour CW.   +10 more
europepmc   +1 more source

Impact of visual distractors in virtual reality environments on sustained attention behavioral performance and EEG characteristics. [PDF]

Front Hum Neurosci
Ai X, Wang Y, Wang P, Wang S.
europepmc   +1 more source

A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains. [PDF]

Sci Rep
Kumar Y, Ramalingam S, Zegeye GB.
europepmc   +1 more source

A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]

Sci Rep
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc   +1 more source

Fuzzy soft cycles in Fuzzy soft graphs

, 2019
S Shashikala, P N Anil
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Hesitant fuzzy graphs, hesitant fuzzy hypergraphs and fuzzy graph decisions1

Journal of Intelligent & Fuzzy Systems, 2021
Up to now, there have been a lot of research results about multi-attribute decision making problems by fuzzy graph theory. However, there are few investigations about multi-attribute decision making problems under the background of indecisiveness. The main reason is that the difference of cognition and the complexity of thinking by decision makers, for
Gong, Zengtai, Wang, Junhu
openaire   +1 more source

Fuzzy end nodes in fuzzy graphs

Information Sciences, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bhutani, Kiran R., Rosenfeld, Azriel
openaire   +2 more sources

Fuzzy domination in fuzzy graphs

Journal of Intelligent & Fuzzy Systems, 2023
 Let G = (V, μ, σ) be a fuzzy graph on a finite set V. A fuzzy subset μ′ of μ is called a fuzzy dominating set of G if, μ ′ ( v ) + ∑ x ∈ V ( σ ( x , v ) ∧ μ ′ ( x ) ) ≥ μ ( v ) for every v ∈ V . Fuzzy domination number γfz is defined accordingly. In this paper we initiate a study of this parameter.
Lekha, A., Parvathy, K.S.
openaire   +1 more source

FUZZY GRAPH STRUCTURE OF FLOWER GRAPHS

Far East Journal of Applied Mathematics, 2017
Summary: In this paper, we consider a flower graph \(fl_n\) and define the membership function for vertices and edges for \(fl_n\) to make it a fuzzy flower graph \(f\widetilde{l}_n\). Then the fuzzy graph structure for \(f\widetilde{l}_n\) is developed. The vertex and edge cohesive number of \(f\widetilde{l}_n\) are computed.
Harinath, Purnima, Lavanya, S.
openaire   +1 more source