Autor: Kacprzyk, J. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Computing with words, protoforms and linguistic data summaries : towards a novel natural language based data mining and knowledge discovery tools
Autorzy:: Kacprzyk, J.
Zadrożny, S.
Powiązania:: https://bibliotekanauki.pl/articles/384773.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: computing with words
linguistic summaries
protoform
Opis:: We show how Zadeh’s idea of computing with words and perceptions, based on his concept of a precisiated natural language (PNL), can lead to a new direction in the use of natural language in data mining, linguistic data(base) summaries. We emphasize the relevance of Zadeh’s another idea, that of a protoform, and show that various types of Yager type linguistic data summaries may be viewed as items in a hierarchy of protoforms of summaries. We briefly present an implementation for a sales database of a computer retailer as a convincing example that these tools and techniques are implementable and functional. These summaries involve both data from an internal database of the company and data downloaded from external databases via the Internet.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 3; 52-58
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Multiaspect Text Categorization Problem Solving: a Nearest Neighbours Classifier Based Approaches and Beyond
Autorzy:: Zadrożny, S.
Kacprzyk, J.
Gajewski, M.
Powiązania:: https://bibliotekanauki.pl/articles/950980.pdf
Data publikacji:: 2015
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: text categorization
intelligent system
nearest neighbours classifiers
topic tracking and detection
fuzzy majority
Opis:: We deal with the problem of the multiaspect text categorization which calls for the classification of the documents with respect to two, in a sense, orthogonal sets of categories. We briefly define the problem, mainly referring to our previous work, and study the application of the k- nearest neighbours algorithm. We propose a new technique meant to enhance the effectiveness of this algorithm when applied to the problem in question. We show some experimental results confirming usefulness of the proposed approach.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 4; 58-70
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A Novel Approach to the Solution of Matrix Games with Payoffs Expressed by Trapezoidal Intuitionistic Fuzzy Numbers
Autorzy:: Verma, T.
Kumar, A.
Kacprzyk, J.
Powiązania:: https://bibliotekanauki.pl/articles/384798.pdf
Data publikacji:: 2015
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: trapezoidal intuitionistic fuzzy numbers
mathematical programming problem
two person zerosum game
α cut
β cut
Opis:: We propose a novel approach to the solution of fuzzy matrix games with payoffs given as trapezoidal intuitionistic fuzzy numbers. We extend Li’s [36, Chapter 9] work based on a cut-set based method for finding an optimal solution to overcome the fact that the assumptions and properties assumed therein do not guarantee in general, first, the very existence of an optimal solution, and second, its attainment via a mathematical programming formulation proposed. We first briefly mention those problems in Li’s [36] approach, and then propose a new, corrected and general method, called the Mehar mehod, based on a modified mathematical pro- gramming formulation of a matrix game with payoffs represented by trapezoid intuitionistic fuzzy numbers. For illustration, we solve Li’s [36] example, and compare his and our results.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 3; 25-46
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A new heuristic possibilistic clustering algorithm for feature selection
Autorzy:: Kacprzyk, J.
Owsinski, J. W.
Viattchenin, D. A.
Powiązania:: https://bibliotekanauki.pl/articles/384599.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: feature selection
fuzzy correlation measure
possibilistic clustering
heuristic possibilistic clustering
fuzzy cluster
Opis:: The paper deals with the problem of selection of the most informative features. A new effective and efficient heuristic possibilistic clustering algorithm for feature selection is proposed. First, a brief description of basic concepts of the heuristic approach to possibilistic clustering is provided. A technique of initial data preprocessing is described and a fuzzy correlation measure is considered. The new algorithm is described and then illustrated on the well-known Iris data set benchmark and the results obtained are compared with those by using the conventional, well-known and widely employed method of principal component analysis (PCA). Conclusions and suggestions for future research are given.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 40-46
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Extracting fuzzy classifications rules from three - way data
Autorzy:: Kacprzyk, J.
Owsinski, J. W.
Viattchenin, D. A.
Powiązania:: https://bibliotekanauki.pl/articles/385102.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: three-way data
possibilistic clustering
fuzzy cluster
typical point
fuzzy rule
Opis:: The paper deals in the conceptual way with the problem of extracting fuzzy classification rules from the three-way data meant in the sense of Sato and Sato [7]. A novel technique based on a heuristic method of possibilistic clustering is proposed. A description of basic concepts of a heuristic method of possibilistic clustering based on concept of an allotment is provided. A preprocessing technique for three-way data is shown. An extended method of constructing fuzzy classification rules based on clustering results is proposed. An illustrative example of the method’s application to the Sato and Sato’s data [7] is provided. An analysis of the experimental results obtained with some conclusions are given.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 47-57
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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