A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness

J. Kacprzyk, A. Wilbik

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

We extend our works of deriving linguistic summaries of time series using a fuzzy logic approach to linguistic summarization. We proceed towards a multicriteria analysis of summaries by assuming as a quality criterion Yager’s measure of informativeness that combines in a natural way the measures of truth, focus and specificity, to obtain a more advanced evaluation of summaries. The use of the informativeness measure for the purpose of a multicriteria evaluation of linguistic summaries of time series seems to be an effective and efficient approach, yet simple enough for practical applications. Results on the summarization of quotations of an investment (mutual) fund are very encouraging.
Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing
Subtitle of host publication10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I
EditorsL. Rutkowski, R. Scherer, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada
Place of PublicationBerlin
PublisherSpringer
Chapter14
Pages105-113
Number of pages9
ISBN (Electronic)978-3-642-13208-7
ISBN (Print)978-3-642-13207-0
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010) - Zakopane, Poland
Duration: 13 Jun 201017 Jun 2010
Conference number: 10
http://link.springer.com/book/10.1007/978-3-642-13208-7

Publication series

NameLecture Notes in Computer Science (LNCS)
Volume6113
ISSN (Print)0302-9743
NameLecture Notes in Artificial Intelligence (LNAI)
Volume6113
ISSN (Print)1611-3349

Conference

Conference10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010)
Abbreviated titleICAISC 2010
CountryPoland
CityZakopane
Period13/06/1017/06/10
Internet address

Fingerprint

Multi-criteria
Time series
Summarization
Evaluation
Multi Criteria Analysis
Fuzzy Logic
Specificity
Linguistics

Cite this

Kacprzyk, J., & Wilbik, A. (2010). A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness. In L. Rutkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I (pp. 105-113). (Lecture Notes in Computer Science (LNCS); Vol. 6113), (Lecture Notes in Artificial Intelligence (LNAI); Vol. 6113). Berlin: Springer. https://doi.org/10.1007/978-3-642-13208-7_14
Kacprzyk, J. ; Wilbik, A. / A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness. Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I. editor / L. Rutkowski ; R. Scherer ; R. Tadeusiewicz ; L.A. Zadeh ; J.M. Zurada. Berlin : Springer, 2010. pp. 105-113 (Lecture Notes in Computer Science (LNCS)). (Lecture Notes in Artificial Intelligence (LNAI)).
@inproceedings{832da064c55c489db9d9c28fc5600c2b,
title = "A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness",
abstract = "We extend our works of deriving linguistic summaries of time series using a fuzzy logic approach to linguistic summarization. We proceed towards a multicriteria analysis of summaries by assuming as a quality criterion Yager’s measure of informativeness that combines in a natural way the measures of truth, focus and specificity, to obtain a more advanced evaluation of summaries. The use of the informativeness measure for the purpose of a multicriteria evaluation of linguistic summaries of time series seems to be an effective and efficient approach, yet simple enough for practical applications. Results on the summarization of quotations of an investment (mutual) fund are very encouraging.",
author = "J. Kacprzyk and A. Wilbik",
year = "2010",
doi = "10.1007/978-3-642-13208-7_14",
language = "English",
isbn = "978-3-642-13207-0",
series = "Lecture Notes in Computer Science (LNCS)",
publisher = "Springer",
pages = "105--113",
editor = "L. Rutkowski and R. Scherer and R. Tadeusiewicz and L.A. Zadeh and J.M. Zurada",
booktitle = "Artificial Intelligence and Soft Computing",
address = "Germany",

}

Kacprzyk, J & Wilbik, A 2010, A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness. in L Rutkowski, R Scherer, R Tadeusiewicz, LA Zadeh & JM Zurada (eds), Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I. Lecture Notes in Computer Science (LNCS), vol. 6113, Lecture Notes in Artificial Intelligence (LNAI), vol. 6113, Springer, Berlin, pp. 105-113, 10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010), Zakopane, Poland, 13/06/10. https://doi.org/10.1007/978-3-642-13208-7_14

A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness. / Kacprzyk, J.; Wilbik, A.

Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I. ed. / L. Rutkowski; R. Scherer; R. Tadeusiewicz; L.A. Zadeh; J.M. Zurada. Berlin : Springer, 2010. p. 105-113 (Lecture Notes in Computer Science (LNCS); Vol. 6113), (Lecture Notes in Artificial Intelligence (LNAI); Vol. 6113).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness

AU - Kacprzyk, J.

AU - Wilbik, A.

PY - 2010

Y1 - 2010

N2 - We extend our works of deriving linguistic summaries of time series using a fuzzy logic approach to linguistic summarization. We proceed towards a multicriteria analysis of summaries by assuming as a quality criterion Yager’s measure of informativeness that combines in a natural way the measures of truth, focus and specificity, to obtain a more advanced evaluation of summaries. The use of the informativeness measure for the purpose of a multicriteria evaluation of linguistic summaries of time series seems to be an effective and efficient approach, yet simple enough for practical applications. Results on the summarization of quotations of an investment (mutual) fund are very encouraging.

AB - We extend our works of deriving linguistic summaries of time series using a fuzzy logic approach to linguistic summarization. We proceed towards a multicriteria analysis of summaries by assuming as a quality criterion Yager’s measure of informativeness that combines in a natural way the measures of truth, focus and specificity, to obtain a more advanced evaluation of summaries. The use of the informativeness measure for the purpose of a multicriteria evaluation of linguistic summaries of time series seems to be an effective and efficient approach, yet simple enough for practical applications. Results on the summarization of quotations of an investment (mutual) fund are very encouraging.

U2 - 10.1007/978-3-642-13208-7_14

DO - 10.1007/978-3-642-13208-7_14

M3 - Conference contribution

SN - 978-3-642-13207-0

T3 - Lecture Notes in Computer Science (LNCS)

SP - 105

EP - 113

BT - Artificial Intelligence and Soft Computing

A2 - Rutkowski, L.

A2 - Scherer, R.

A2 - Tadeusiewicz, R.

A2 - Zadeh, L.A.

A2 - Zurada, J.M.

PB - Springer

CY - Berlin

ER -

Kacprzyk J, Wilbik A. A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness. In Rutkowski L, Scherer R, Tadeusiewicz R, Zadeh LA, Zurada JM, editors, Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I. Berlin: Springer. 2010. p. 105-113. (Lecture Notes in Computer Science (LNCS)). (Lecture Notes in Artificial Intelligence (LNAI)). https://doi.org/10.1007/978-3-642-13208-7_14