Title
Bipolar semantic cells: an interval model for linguistic labels
Abstract
An interval model for linguistic labels is proposed by introducing bipolar semantic cells for concept representation. According to this model, the degree to which each element is a positive case of a given linguistic expression is an interval value. Fundamental to our approach is that there is an uncertain border area associated with linguistic labels. This is modeled by assuming that there are two uncertain boundaries for each linguistic label, resulting in a bipolar semantic cell for concept representation. The calculus of lower and upper neighborhood functions of linguistic expressions is developed and investigated. This then provides a framework for modelliong the vague concepts in uncertain reasoning.
Year
DOI
Venue
2011
10.1007/978-3-642-24918-1_9
IUKM
Keywords
Field
DocType
interval model,uncertain reasoning,interval value,linguistic expression,vague concept,uncertain boundary,concept representation,bipolar semantic cell,uncertain border area,linguistic label
Prototype theory,Vagueness,Expression (mathematics),Interval model,Artificial intelligence,Linguistics,Mathematics
Conference
Volume
ISSN
Citations 
7027
0302-9743
2
PageRank 
References 
Authors
0.40
7
2
Name
Order
Citations
PageRank
Yongchuan Tang158877.47
Jonathan Lawry217219.06