Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Janusz Kacprzyk"'
Publikováno v:
FUZZ-IEEE
We propose here a new proposal for attribute selection in the models expressed by the intuitionistic fuzzy sets. We further develop our previous paper in which the approach was already extended and the first computational tests were performed, i.e.,
Publikováno v:
Reverse Clustering ISBN: 9783030693589
In this chapter the case of environment contamination is considered, namely the data concern the presence of four important elements in the herb layer of administrative units of a land in Germany. This case is insofar interesting, as there was no ini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::325924fc39594652370b3efa44def02a
https://doi.org/10.1007/978-3-030-69359-6_5
https://doi.org/10.1007/978-3-030-69359-6_5
Publikováno v:
Reverse Clustering ISBN: 9783030693589
This short chapter is devoted to an introduction to and an overview of the cases studied with the reverse clustering approach and illustrated in the present book—their short characterisation and the indication of the respective interpretations of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c793a4158fff76c40f78e16f07d1656a
https://doi.org/10.1007/978-3-030-69359-6_3
https://doi.org/10.1007/978-3-030-69359-6_3
Publikováno v:
Measuring and Understanding Complex Phenomena ISBN: 9783030596828
The paper deals with the following problem: given a set of multidimensional data (here: data on Polish municipalities, some 2500 in total) and its definite typology (here: functional typology of municipalities, meant for planning purposes), elaborate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa6385516cdabdbccf8e4d5d50431c9
https://doi.org/10.1007/978-3-030-59683-5_3
https://doi.org/10.1007/978-3-030-59683-5_3
The first edition of the Encyclopedia of Complexity and Systems Science (ECSS, 2009) presented a comprehensive overview of granular computing (GrC) broadly divided into several categories: Granular computing from rough set theory, Granular Computing
Publikováno v:
FUZZ-IEEE
In this paper we continue our previous considerations on attribute selection while a data set is expressed via an Atanassov’s intuitionistic fuzzy set (IFS). We examine a simple, yet it seems, a powerful algorithm making use of the three term attri
This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical
Autor:
Janusz Kacprzyk, Sławomir Zadrożny
Publikováno v:
Fuzzy Sets and Systems. 285:182-198
Analyses of Web server logs may be very useful and are often needed for designers and analysts of computer networks who try to design and optimize the functioning of the systems, safeguard them against attacks, provide for the most effective and effi
Autor:
Sławomir Zadrożny, Janusz Kacprzyk
Publikováno v:
Journal of Automation, Mobile Robotics and Intelligent Systems. 8:52-58
Publikováno v:
Journal of Automation, Mobile Robotics & Intelligent Systems. 8:40-46
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 heuristi