Research Article
Toward Aggregating Fuzzy Graphs a Model Theory Approach
189 downloads
@INPROCEEDINGS{10.1007/978-3-030-34365-1_17, author={Nguyen Han and Nguyen Hao and Phan Vinh}, title={Toward Aggregating Fuzzy Graphs a Model Theory Approach}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 8th EAI International Conference, ICCASA 2019, and 5th EAI International Conference, ICTCC 2019, My Tho City, Vietnam, November 28-29, 2019, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2019}, month={12}, keywords={Fuzzy logic Linguistic variable Hedge algebra Aggregating fuzzy graphs}, doi={10.1007/978-3-030-34365-1_17} }
- Nguyen Han
Nguyen Hao
Phan Vinh
Year: 2019
Toward Aggregating Fuzzy Graphs a Model Theory Approach
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-34365-1_17
Abstract
In this paper, we study fuzzy graph represents by using model theory. We use hedge algebra and linguistic variables for modeling and aggregating two graphs. We prove theorem of limiting in models state space. We also figure out preserved property of aggregation operator.
Copyright © 2019–2024 ICST