Results 31 to 40 of about 463 (166)
REPRESENTATIONS OF EDGE REGULAR BIPOLAR FUZZY GRAPHS [PDF]
, 2017 V. Ramadass & D. Kalpana, “Representations of Edge Regular Bipolar Fuzzy Graphs”, International Journal of Applied and Advanced Scientific Research, Volume 2, Issue 2, Page Number 267-272 ...
D. Kalpana, V. Ramadass
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Directed n-Superhypergraphs Incorporating Bipolar Fuzzy Information: A Multi-Tier Framework for Modeling Bipolar Uncertainty in Complex Networks [PDF]
Neutrosophic Sets and SystemsGraph theory studies the mathematical structures of vertices and edges to model relationships and connectivity. Hypergraphs extend this framework by allowing hyperedges to connect arbitrarily many vertices at once [1], and Super-HyperGraphs further ...
Florentin Smarandache, Takaaki Fujita
doaj +1 more source
Certain Algorithms for Computing Strength of Competition in Bipolar Fuzzy Graphs [PDF]
, 2017 Fuzzy graph theory is one of the most developing area of research, which has a variety of applications in different fields, including computer science, communication networks, biological sciences, social networks, decision-making and optimization ...
Musavarah Sarwar, Muhammad Akram
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Bipolar Complex Neutrosophic Graphs of Type 1 [PDF]
, 2018 In this paper, we introduced a new neutrosophic graphs called bipolar complex neutrosophic graphs of type1 (BCNG1) and presented a matrix representation for it and studied some properties of this new concept.
V. Venkateswara Rao (5156660) +4 more
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Utilizing m-Polar Fuzzy Saturation Graphs for Optimized Allocation Problem Solutions [PDF]
, 2023 It is well known that crisp graph theory is saturated. However, saturation in a fuzzy environment has only lately been created and extensively researched. It is necessary to consider m components for each node and edge in an m-polar fuzzy graph.
Madhumangal Pal +4 more
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Some properties of m-polar fuzzy graphs [PDF]
, 2016 In many real world problems, data sometimes comes from n agents (n ≥ 2), i.e., “multipolar information” exists. This information cannot be well-represented by means of fuzzy graphs or bipolar fuzzy graphs.
Ghorai, Ganesh, Pal, Madhumangal
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Application of Bipolar Intuitionistic Fuzzy Soft Sets in Decision Making Problem [PDF]
, 2018 This article describes how recently, a paper by D. Ezhilmaran and K. Sankar called Morphism of bipolar intuitionistic fuzzy graphs, has introduced bipolar intuitionistic fuzzy sets and morphism of bipolar intuitionistic fuzzy graphs.
Chiranjibe Jana, Madhumangal Pal
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Modern trends in fuzzy graph theory [PDF]
, 2020 This book provides an extensive set of tools for applying fuzzy mathematics and graph theory to real-life problems. Balancing the basics and latest developments in fuzzy graph theory, this book starts with existing fundamental theories such as ...
Samanta, Sovan +2 more
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Application of Bipolar Fuzzy Sets in Graph Structures [PDF]
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. We introduce certain notions, including bipolar fuzzy graph structure (BFGS), strong bipolar fuzzy graph structure, bipolar
Muhammad Akram, Rabia Akmal
openaire +2 more sources
Advanced Science, EarlyView.Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source