Research Article
Modeling with Words Based on Hedge Algebra
166 downloads
@INPROCEEDINGS{10.1007/978-3-030-06152-4_18, author={Nguyen Han and Phan Vinh}, title={Modeling with Words Based on Hedge Algebra}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 7th EAI International Conference, ICCASA 2018, and 4th EAI International Conference, ICTCC 2018, Viet Tri City, Vietnam, November 22--23, 2018, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2019}, month={1}, keywords={Fuzzy logics Linguistic variable Hedge algebra Fuzzy cognitive map}, doi={10.1007/978-3-030-06152-4_18} }
- Nguyen Han
Phan Vinh
Year: 2019
Modeling with Words Based on Hedge Algebra
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-06152-4_18
Abstract
In this paper, we introduce a method for modeling with words based on hedge algebra using fuzzy cognitive map. Our model, called linguistic cognitive map, consists of set of vertices and edges with value to be linguistic variables. We figure out relationship between the length of linguistic variables for fuzzifying data and a number of partition from unit interval. We also prove finite properties of state space, generating from linguistic cognitive map.
Copyright © 2018–2024 ICST