DocumentCode
2829694
Title
Optimizing the Method for Building an Extended Linguistic Hierarchy
Author
Espinilla, M. ; Rodriguez, R.M. ; Martinez, Luis ; Mata, F. ; Liu, J.
Author_Institution
Dept. of Comput. Sci., Univ. of Jaen, Jaen, Spain
fYear
2009
fDate
Nov. 30 2009-Dec. 2 2009
Firstpage
815
Lastpage
820
Abstract
In those problems dealing with linguistic information and multiple sources of information may happen that the sources involved have different degree of knowledge about the problem and could be suitable and necessary the use of different linguistic term sets with different granularity defining a multi-granular linguistic context. Different approaches have been presented to deal with this type of context, being the linguistic hierarchies [1] an approach quite interesting due to its accuracy in computational model but with a strong limitation about the term sets that can be used. We presented an extension of the linguistic hierarchies [2] to deal any linguistic term set in a precise way. This new approach presents initially a drawback, it needs a term set with a very high granularity, implying complexity in computing with words processes. Therefore, we propose an optimization to building an extended linguistic hierarchy in order to decrease the granularity of such a term set.
Keywords
computational linguistics; computational model; extended linguistic hierarchy; linguistic hierarchies; linguistic information; linguistic term sets; multigranular linguistic context; optimization; Application software; Buildings; Computational modeling; Design optimization; Information resources; Intelligent structures; Intelligent systems; Optimization methods; Proposals; Uncertainty; Linguistic information; granularity; linguistic hierarchies;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location
Pisa
Print_ISBN
978-1-4244-4735-0
Electronic_ISBN
978-0-7695-3872-3
Type
conf
DOI
10.1109/ISDA.2009.74
Filename
5364047
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