1,354,293 research outputs found

    A new insight into the linguistic summarization of time series via a degree of support:elimination of infrequent patterns

    No full text
    We extend our previous works on using a fuzzy logic based calculus of linguistically quantified propositions for linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrożny [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]. That approach, using the classic degree of truth (validity) to be maximized, is here extended by adding a degree of support. On the one hand, this can reflect in natural language the essence of traditional statistical approaches, and on the other hand, can help discard linguistic summaries with a high degree of truth but a low degree of support so that they concern infrequently occurring patterns and may be uninteresting. We show an application to the absolute performance analysis of an investment (mutual) fund

    Mining time series data via linguistic summaries of trends by using a modified Sugeno integral based aggregation

    No full text
    Linguistic summaries as descriptions of trends in time series data are proposed. We further extend our (cf. Kacprzyk, Wilbik and Zadrozny [1], [2], [3], [4], [5]) previous works in which we put forward a new approach to the linguistic summarization of time series. In this paper we basically propose a modification of our previous work on the use of the Sugeno integral developed in [5) by employing a modified fuzzy measure and its related modified Sugeno integral. This gives better results in particular in the case of some more sophisticated and extended types of summaries

    Linguistic summaries of time series : on some extended aggregation techniques

    No full text
    We further extend our approach to the linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrony) in which an approach based on a calculus of linguistically quantified propositions is employed, and the essence of the problem is equated with a linguistic quantifier driven aggregation of partial scores (trends). 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

    Linguistic summarization of time series by using the Choquet integral

    No full text
    We further extend a new approach to a linguistic summarization of time series proposed in our previous works (cf. Kacprzyk, Wilbik and Zadrożny [1,2,3,4,5]) in which we put forward the use of a fuzzy linguistic quantifier driven aggregation of trends (partial scores) via the traditional Zadeh calculus of linguistically quantified propositions and the Sugeno integral. Here we use for this purpose the Choquet integral that has been widely advocated for many decision analytic and economic problems. The results are intuitively appealing and the method is effective and efficient

    An extended, specificity based approach to linguistic summarization of time series

    No full text
    We reformulate and extend our previous works (cf. Kacprzyk, Wilbik and Zadrozny [7] – [17]), mainly towards a more complex evaluation of results on the linguistic summarization of time series meant as the derivation of an linguistic quantifier driven aggregation of partial trends with respect to the dynamics of change, duration and variability. We use Zadeh’s calculus of linguistically quantified propositions but, in addition to the basic criterion of a degree of truth (validity), we also use a degree of specificity to make it possible to account for a frequent case that though the degree of truth of a very general (not specific) summary is high, its usefulness may be low due to its low specificity. We show an application to the absolute performance type analysis of daily quotations of an investment fund

    Linguistic summarization of time series using fuzzy logic with linguistic quantifiers:a truth and specificity based approach

    No full text
    We reformulate and extend our previous works (cf. Kacprzyk, Wilbik and Zadrożny [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]), mainly towards a more complex and realistic evaluation of results on the linguistic summarization of time series which is meant as the derivation of an linguistic quantifier driven aggregation of partial trends with respect to the dynamics of change, duration and variability. We use Zadeh’s calculus of linguistically quantified propositions but, in addition to the basic criterion of a degree of truth (validity), we also use a degree of specificity to make it possible to account for a frequent case that though the degree of truth of a very general (not specific) summary is high, its usefulness may be low due to its low specificity. We show an application to the absolute performance type analysis of daily quotations of an investment fund

    Rektorzy Politechniki Łódzkiej. Bohdan Stefanowski założyciel i pierwszy rektor Politechniki Łódzkiej.

    Get PDF
    Fotografie zamieszczone w albumie pochodzą ze zbiorów rodzinnych prof. Michała Stefanowskiego i archiwum Pracowni Historycznej Politechniki ŁódzkiejSerdeczne podziękowania autorki składają rodzinie Profesora Bohdana Stefanowskiego,w szczególności wnukowi prof. Michałowi Stefanowskiemu, za udostępnienie licznych dokumentów, fotografii i pamiątek rodzinnych oraz wspomnień ProfesoraRedakcja, projekt graficzny i opracowanie: Popiel, Krystyna; Wilbik, MałgorzataOddajemy do Państwa rąk album „Bohdan Stefanowski założyciel i pierwszy rektor Politechniki Łódzkiej”, drugi tom serii „Rektorzy Politechniki Łódzkiej” – cyklu wydawniczego ukazującego sylwetki Rektorów naszej Uczelni, wybitnych profesorów, uczonych, dydaktyków i wychowawców wielu pokoleń studentów, którzy z wielkim zaangażowaniem i wysiłkiem tworzyli oraz rozwijali Politechnikę Łódzką. W 135. rocznicę urodzin Profesora Bohdana Stefanowskiego pragniemy przypomnieć społeczności akademickiej postać Pierwszego Rektora i twórcy Politechniki Łódzkiej, wielkiego uczonego i wybitnego termodynamika, jednego z głównych twórców polskiej szkoły termodynamiki, członka a także współzałożyciela wielu gremiów naukowych i stowarzyszeń m.in. Polskiej Akademii Umiejętności, Polskiej Akademii Nauk, Stowarzyszenia Inżynierów i Mechaników Polskich [...]. W prezentowanym tomie przedstawiane są różnorodne materiały. Rys biograficzny Pierwszego Rektora przepleciony fragmentami Jego osobistych wspomnień poprzedza tekst również autorstwa Profesora „Jak powstawała Politechnika Łódzka” będący reminiscencją z pierwszych lat tworzenia i funkcjonowania Naszej Uczelni. Całość została bogato zilustrowana zdjęciami pochodzącymi z archiwum Pracowni Historycznej oraz fotografiami z archiwum rodzinnego Pana Michała Stefanowskiego, za udostępnienie których gorąco dziękujemy

    Linguistic summaries of time series:on some additional data independent quality criteria

    No full text
    We further extend our approach on the linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrożny) in which an approach based on a calculus of linguistically quantified propositions is employed, and the essence of the problem is equated with a linguistic quantifier driven aggregation of partial scores (trends). Basically, we present here some reformulation and extension of our works mainly by including a more complex evaluation of the linguistic summaries obtained. In addition to the basic criterion of a degree of truth (validity), we also use here as the additional criteria a degree of imprecision, specificity, fuzziness and focus. However, for simplicity and tractability, we use in the first shot the degrees of truth (validity) and focus, which usually reduce the space of possible linguistic summaries to a considerable extent, and then - for a usually much smaller set of linguistic summaries obtained - we use the remaining three degrees of imprecision, specificity and fuzziness for making a final choice of appropriate linguistic summaries. We show an application to the absolute performance type analysis of daily quotations of an investment fund

    Linguistic Summaries of Time Series Using a Degree of Appropriateness as a Measure of Interestingness

    No full text
    We further extend our approach to the linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrozny [9, 10, 11, 12]) in which an approach based on a calculus of linguistically quantified propositions is employed, and the essence of the problem is equated with a linguistic quantifier driven aggregation of partial scores (trends). In addition to the basic criterion of a degree of truth (validity), we also use as a degree of appropriateness as an additional quality criterion. However, for simplicity and tractability, we use in the first shot the degrees of truth (validity) and focus, which usually reduce the space of possible linguistic summaries to a considerable extent, and then for a usually much smaller set of linguistic summaries obtained we use the degree of appropriateness to make a final choice as it gives us an additional quality of being able to detect how surprising, i.e. valuable, a linguistic summary obtained is. We also mention relations to natural language generation (NLG) as pointed out recently by Kacprzyk and Zadrozny [19]. We show an application to the absolute performance type analysis of daily quotations of an investment fund, and the numerical results are promising. The linguistic summaries obtained using this additional quality criterion of a degree of appropriateness seem to better reflect human intents and interest

    On Relevance of Linguistic Summaries - A Case Study from the Agro-Food Domain

    No full text
    We present an application of linguistic summaries in the agro-food domain. We focus on the relevance aspect. Using the interviews we determine which linguistic summaries are useful and appropriate for target users (farmers). The user evaluation with a tam survey indicates that linguistic summaries allow farmers to understand quickly the past performance of their pig barns.keywordslinguistic summariesrelevancecase studycomputing with words
    corecore