Linguistic summaries of time series via an OWA operator based aggregation of partial trends

J. Kacprzyk; A. Wilbik; S. Zadrozny

doi:10.1109/FUZZY.2007.4295411

Linguistic summaries of time series via an OWA operator based aggregation of partial trends

J. Kacprzyk, A. Wilbik, S. Zadrozny

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

17 Citations (Scopus)

Abstract

We extend our approach to the linguistic summarization of (numerical) time series. The main issue boils down to the identification of trends in time series that are characterized by a set of attributes followed by their appropriate aggregation. We propose to use the OWA (ordered weighted averaging) operators for the aggregation of partial trends as an alternative to the use of the classic Zadeh's calculus of linguistically quantified propositions, the Sugeno integral and the Choquet integral. The use of the OWA operators provides a convenient unified aggregation means that can be used to derive diverse types of summaries. The results obtained confirm a high human consistency of linguistic summaries derived.

Original language	English
Title of host publication	Proceedings of the FUZZ-IEEE 2007 IEEE International Conference on Fuzzy Systems
Publisher	IEEE Press
Pages	467-472
Number of pages	6
DOIs	https://doi.org/10.1109/FUZZY.2007.4295411
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007) - London, United Kingdom Duration: 23 Jul 2007 → 26 Jul 2007

Conference

Conference	2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007)
Abbreviated title	FUZZ-IEEE 2007
Country	United Kingdom
City	London
Period	23/07/07 → 26/07/07

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10.1109/FUZZY.2007.4295411

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@inproceedings{cf15d0fb69eb41fc98a31e93687580b7,

title = "Linguistic summaries of time series via an OWA operator based aggregation of partial trends",

abstract = "We extend our approach to the linguistic summarization of (numerical) time series. The main issue boils down to the identification of trends in time series that are characterized by a set of attributes followed by their appropriate aggregation. We propose to use the OWA (ordered weighted averaging) operators for the aggregation of partial trends as an alternative to the use of the classic Zadeh's calculus of linguistically quantified propositions, the Sugeno integral and the Choquet integral. The use of the OWA operators provides a convenient unified aggregation means that can be used to derive diverse types of summaries. The results obtained confirm a high human consistency of linguistic summaries derived.",

author = "J. Kacprzyk and A. Wilbik and S. Zadrozny",

year = "2007",

doi = "10.1109/FUZZY.2007.4295411",

language = "English",

pages = "467--472",

booktitle = "Proceedings of the FUZZ-IEEE 2007 IEEE International Conference on Fuzzy Systems",

publisher = "IEEE Press",

note = "2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), FUZZ-IEEE 2007 ; Conference date: 23-07-2007 Through 26-07-2007",

}

Kacprzyk, J, Wilbik, A & Zadrozny, S 2007, Linguistic summaries of time series via an OWA operator based aggregation of partial trends. in Proceedings of the FUZZ-IEEE 2007 IEEE International Conference on Fuzzy Systems. IEEE Press, pp. 467-472, 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London, United Kingdom, 23/07/07. https://doi.org/10.1109/FUZZY.2007.4295411

TY - GEN

T1 - Linguistic summaries of time series via an OWA operator based aggregation of partial trends

AU - Kacprzyk, J.

AU - Wilbik, A.

AU - Zadrozny, S.

PY - 2007

Y1 - 2007

N2 - We extend our approach to the linguistic summarization of (numerical) time series. The main issue boils down to the identification of trends in time series that are characterized by a set of attributes followed by their appropriate aggregation. We propose to use the OWA (ordered weighted averaging) operators for the aggregation of partial trends as an alternative to the use of the classic Zadeh's calculus of linguistically quantified propositions, the Sugeno integral and the Choquet integral. The use of the OWA operators provides a convenient unified aggregation means that can be used to derive diverse types of summaries. The results obtained confirm a high human consistency of linguistic summaries derived.

AB - We extend our approach to the linguistic summarization of (numerical) time series. The main issue boils down to the identification of trends in time series that are characterized by a set of attributes followed by their appropriate aggregation. We propose to use the OWA (ordered weighted averaging) operators for the aggregation of partial trends as an alternative to the use of the classic Zadeh's calculus of linguistically quantified propositions, the Sugeno integral and the Choquet integral. The use of the OWA operators provides a convenient unified aggregation means that can be used to derive diverse types of summaries. The results obtained confirm a high human consistency of linguistic summaries derived.

U2 - 10.1109/FUZZY.2007.4295411

DO - 10.1109/FUZZY.2007.4295411

M3 - Conference contribution

SP - 467

EP - 472

BT - Proceedings of the FUZZ-IEEE 2007 IEEE International Conference on Fuzzy Systems

PB - IEEE Press

T2 - 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007)

Y2 - 23 July 2007 through 26 July 2007

ER -

Linguistic summaries of time series via an OWA operator based aggregation of partial trends

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