On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
Similarity and compatibility in fuzzy set theory: assessment and applications
Similarity and compatibility in fuzzy set theory: assessment and applications
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
An Approach to the Linguistic Summarization of Data
IPMU '90 Proceedings of the 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Uncertainty in Knowledge Bases
Analysis of Time Series via their Linguistic Summarization: the Use of the Sugeno Integral
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
Linguistic Summarization of Time Series by Using the Choquet Integral
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Linguistic Summarization of Time Series Under Different Granulation of Describing Features
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Information Sciences: an International Journal
A Multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
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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.