Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.04.127
Abstract: Abstract Cogeneration systems provide an efficient means of producing electricity and heat, while trigeneration systems extend the concept by producing an additional output in the form of cooling. Such systems are more efficient than stand-alone… read more here.
Keywords: fuzzy graph; cogeneration; trigeneration systems; optimal synthesis ... See more keywords
Optimizing abnormal operations of off-grid community utility systems with fuzzy P-graph
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.117725
Abstract: Off-grid renewable energy systems provide opportunities to give electricity and other utilities to remote communities. Such communities may not have access to electricity, cooling, and purified water, or may require diesel-powered generators for such requirements.… read more here.
Keywords: fuzzy graph; abnormal operations; operations grid; grid community ... See more keywords
Matlab algorithms for traffic light assignment using fuzzy graph, fuzzy chromatic number, and fuzzy inference system
Sign Up to like & getrecommendations! Published in 2020 at "MethodsX"
DOI: 10.1016/j.mex.2020.101136
Abstract: We propose algorithms in Matlab that combine fuzzy graph, fuzzy chromatic number (FCN), and fuzzy inference system (FIS) to create traffic light assignment based on traffic flow, conflict, and queue length in an intersection. We… read more here.
Keywords: fuzzy graph; traffic; algorithms; traffic light ... See more keywords
Fuzzy Graph Subspace Convolutional Network.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3208557
Abstract: Graph convolutional networks (GCNs) are a popular approach to learn the feature embedding of graph-structured data, which has shown to be highly effective as well as efficient in performing node classification in an inductive way.… read more here.
Keywords: subspace convolutional; space; graph; graph subspace ... See more keywords
Connectivity Status of Intuitionistic Fuzzy Graph and Its Application to Merging of Banks
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DOI: 10.3390/math11081949
Abstract: Intuitionistic fuzzy graph theory is used to represent ambiguous networks, such as financial and social networks. The connectivity of such networks has a significant role in analyzing the network characteristics. This study investigates the connectivity… read more here.
Keywords: fuzzy graph; intuitionistic fuzzy; connectivity status;
Energy of Vague Fuzzy Graph Structure and Its Application in Decision Making
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DOI: 10.3390/sym14102081
Abstract: Vague graphs (VGs), belonging to the fuzzy graphs (FGs) family, have good capabilities when faced with problems that cannot be expressed by FGs. The notion of a VG is a new mathematical attitude to model… read more here.
Keywords: vague fuzzy; energy; graph; decision making ... See more keywords
A Complete Breakdown of Politics Coverage Using the Concept of Domination and Double Domination in Picture Fuzzy Graph
Sign Up to like & getrecommendations! Published in 2023 at "Symmetry"
DOI: 10.3390/sym15051044
Abstract: The notion of fuzzy graph (FG) is widely used in many problems arising from partial or incomplete descriptions of the real world and in particular from fields such as engineering, economics, computer science, social disciplines,… read more here.
Keywords: fuzzy graph; picture fuzzy; domination; domination picture ... See more keywords