On a Paradox of Extended Linguistic Summaries.

Anna Wilbik; Timothy C. Havens; Timothy Wilkin

doi:10.1109/FUZZ48607.2020.9177598

On a Paradox of Extended Linguistic Summaries.

Anna Wilbik^*, Timothy C. Havens, Timothy Wilkin

^*Corresponding author for this work

Research output: Contribution to conference › Paper › Academic

Abstract

Continued developments in information technologies allows for increasingly more data to be collected for decision making purposes. While statistical summaries and aggregations are commonly applied to such data, linguistic summaries capture essential features and relationships in the data and better support human users to understand complex data sets. The basic quality measure of linguistic summaries is the truth value, describing the validity of the sentence. Several methods for calculating the truth value have been proposed. In this paper we analyze several popular methods and show a strange, contradictory behavior in case of extended protoforms, which can result in misleading or non-intuitive results to the user. These results highlight the need for further research into linguistic summarization and the computation of truth values for real data sets.

Original language	English
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/FUZZ48607.2020.9177598
Publication status	Published - 2020
Externally published	Yes
Event	2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - Glasgow, United Kingdom Duration: 19 Jul 2020 → 24 Jul 2020

Conference

Conference	2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Abbreviated title	FUZZ-IEEE
Country/Territory	United Kingdom
City	Glasgow
Period	19/07/20 → 24/07/20

Access to Document

10.1109/FUZZ48607.2020.9177598

Cite this

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title = "On a Paradox of Extended Linguistic Summaries.",

abstract = "Continued developments in information technologies allows for increasingly more data to be collected for decision making purposes. While statistical summaries and aggregations are commonly applied to such data, linguistic summaries capture essential features and relationships in the data and better support human users to understand complex data sets. The basic quality measure of linguistic summaries is the truth value, describing the validity of the sentence. Several methods for calculating the truth value have been proposed. In this paper we analyze several popular methods and show a strange, contradictory behavior in case of extended protoforms, which can result in misleading or non-intuitive results to the user. These results highlight the need for further research into linguistic summarization and the computation of truth values for real data sets.",

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