dc.contributor.author |
Subhashini, L.D.C.S. |
|
dc.contributor.author |
Li, Yuefeng |
|
dc.contributor.author |
Zhang, Jinglan |
|
dc.contributor.author |
Atukorale, A.S. |
|
dc.date.accessioned |
2022-08-25T06:58:02Z |
|
dc.date.available |
2022-08-25T06:58:02Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Subhashini, L.D.C.S., et al. (2020). Integration of Fuzzy and LSTM in Three-Way Decisions. |
en_US |
dc.identifier.uri |
http://dr.lib.sjp.ac.lk/handle/123456789/11784 |
|
dc.description.abstract |
Recently, a three-way decision concept is studied to
handle the uncertainty and incompleteness in the given attribute
set based on acceptance, rejection, and uncertain regions. A
three-way decision is a vital method in solving the problem
of uncertainty in opinion mining models.There are models
developed to solve the problem of uncertainty under three-way
decision theory. However, with the classification performance
of existing models, we further investigate the formulation of
three-way regions using fuzzy concepts and Long Short Term
Memory (LSTM). To demonstrate the effectiveness of the method,
experiments were conducted using a movie review and an ebook
review datasets. The experimental results show that the proposed
three-way framework is effective for dealing with uncertainties
in opinions. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Fuzzy Concept, Three-way Decision, LSTM |
en_US |
dc.title |
Integration of Fuzzy and LSTM in Three-Way Decisions |
en_US |
dc.type |
Article |
en_US |