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

J. Kacprzyk; A. Wilbik

doi:10.1007/978-3-642-13208-7_14

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Artificial Intelligence and Soft Computing
Subtitle of host publication	10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I
Editors	L. Rutkowski, R. Scherer, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada
Place of Publication	Berlin
Publisher	Springer
Chapter	14
Pages	105-113
Number of pages	9
ISBN (Electronic)	978-3-642-13208-7
ISBN (Print)	978-3-642-13207-0
DOIs	https://doi.org/10.1007/978-3-642-13208-7_14
Publication status	Published - 2010
Externally published	Yes
Event	10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010) - Zakopane, Poland Duration: 13 Jun 2010 → 17 Jun 2010 Conference number: 10 http://link.springer.com/book/10.1007/978-3-642-13208-7

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	6113
ISSN (Print)	0302-9743

Name	Lecture Notes in Artificial Intelligence (LNAI)
Volume	6113
ISSN (Print)	1611-3349

Conference

Conference	10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010)
Abbreviated title	ICAISC 2010
Country/Territory	Poland
City	Zakopane
Period	13/06/10 → 17/06/10
Internet address	http://link.springer.com/book/10.1007/978-3-642-13208-7

Access to Document

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

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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). 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)).

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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{\textquoteright}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.",

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note = "10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010), ICAISC 2010 ; Conference date: 13-06-2010 Through 17-06-2010",

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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 proceeding › Conference contribution › Academic › peer-review

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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.

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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)). doi: 10.1007/978-3-642-13208-7_14

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

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