Enriching linguistic descriptions of data: A framework for composite protoforms

TítuloEnriching linguistic descriptions of data: A framework for composite protoforms
AutoresA. Ramos-Soto, P. Martin-Rodilla
TipoArtículo de revista
Fonte Fuzzy Sets and Systems, ELSEVIER SCIENCE BV , 2019.
RankProvisionally ranked Q1 in Logic by SJR 2018
ISSN0165-0114
DOI10.1016/j.fss.2019.11.013
AbstractOne of the current limitations of fuzzy linguistic descriptions of data is the lack of diversity of protoforms that can be used to linguistically summarize data. Despite an important effort in providing protoforms with improved semantics that are applicable to time series data or specific application domains, type-I and type-II fuzzy quantified sentences are still predominant in the literature. In this context, we propose a different approach for defining new types of protoforms. Instead of understanding protoforms as individual primitives, our proposal draws inspiration from Rhetorical Structure Theory to provide a framework that allows to define new types of complex protoforms based on semantic relations among simpler protoforms. Based on this framework, we propose an initial taxonomy of relations among protoforms and provide an illustrative use case based on real data and evaluated by human users.
Palabras chaveFuzzy sets, Computing with words, Linguistic descriptions of data, Natural language generation, Rhetorical structure theory