A distance metric for a space of linguistic summaries
References (32)
- et al.
Linguistic summarization of video for fall detection using voxel person and fuzzy logic
Comput. Vision Image Understanding
(2009) - et al.
Transitivity-preserving fuzzification schemes for cardinality-based similarity measures
Eur. J. Oper. Res.
(2005) - et al.
Meta-theorems on inequalities for scalar fuzzy set cardinalities
Fuzzy Sets Syst.
(2006) - et al.
On the transitivity of a parametric family of cardinality-based similarity measures
Int. J. Approximate Reasoning
(2009) - et al.
Metrics and t-equalities
J. Math. Anal. Appl.
(2002) - et al.
Gradual rules in approximate reasoning
Inf. Sci.
(1992) - et al.
Linguistic summarization of time series using a fuzzy quantifier driven aggregation
Fuzzy Sets Syst.
(2008) - et al.
A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets Syst.
(1993) - et al.
SAINTETIQ: a fuzzy set-based approach to database summarization
Fuzzy Sets Syst.
(2002) - et al.
Finding fuzzy and gradual functional dependencies with SummarySQL
Fuzzy Sets Syst.
(1999)
A new approach to the summarization of data
Inf. Sci.
Modeling human activity from voxel person using fuzzy logic
IEEE Trans. Fuzzy Syst.
Time series comparison using linguistic fuzzy techniques
A comparison of similarity measures of fuzzy values
Fuzzy Sets Syst.
Cited by (27)
The linguistic summarization and the interpretability, scalability of fuzzy representations of multilevel semantic structures of word-domains
2021, Microprocessors and MicrosystemsCitation Excerpt :The interpretability of LSs is an exciting topic that was further globally studied by Lesot et al. [13]. Wilbik and Keller solve the problems of the similarity between two sets of LSs [14] and of computing the distance between summaries [15]; Altintop et al. apply a genetic algorithm to examine L-summarization in operational and financial healthcare data [16]. A new temporal LS prototype for time data series was first studied by J. Kacprzyk et al. [17, 18], Kacprzyk and Wilbik [19], and A. Wilbik. [20].
A text summarization method based on fuzzy rules and applicable to automated assessment
2019, Expert Systems with ApplicationsCitation Excerpt :Methods to automatically summarize, compare and assess text data have become progressively important as increasingly large textual datasets have been collected and made available by a variety of systems (e.g., digital libraries (DLs), Virtual Learning Environments (VLEs), social media) (Wilbik & Keller, 2012).
Linguistic summarization of event logs – A practical approach
2017, Information SystemsInterpretability of fuzzy linguistic summaries This work is dedicated to Francesc Esteva, for his pioneering work in fuzzy logic and his dedication to the fuzzy community, especially in Europe
2016, Fuzzy Sets and SystemsCitation Excerpt :Another solution consists in performing a prior evaluation in order to remove summaries whose value cannot be above a given threshold, using for instance the degree of focus proposed in [24]. This degree of focus allows the same kind of optimisation as the support in association rules [25]. Another way of limiting the number of protoforms to evaluate is the user guided summarisation, where users query the system with instances of protoforms which are evaluated and whose truth values are returned.
On the role of linguistic descriptions of data in the building of natural language generation systems
2016, Fuzzy Sets and SystemsCitation Excerpt :For example, in [95], Díaz-Hermida et al. explore several theoretical aspects such as the use of semi-fuzzy quantifiers to model quantified sentences and the description of some generic methods for pattern detection. Furthermore, [96–101] explore several and mostly convergent evaluation criteria, such as the data coverage percentage, the sentence truth degree, and other inspired by the conversational maxims in the field of human communication [102], including the relevance, specificity, ambiguity or length of the description. In fact, when referring to criteria, it can be stated that there is a solid consensus about which characteristics of a linguistic description can be useful in the task of evaluating and ranking candidate descriptions in an objective way.
Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans
2022, International Journal of Intelligent Systems