Temat: fuzzy measure - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A computational model for multi-criteria decision making in traffic JAM problem
Autorzy:: Naeem, Ali
Abbas, Jabbar
Powiązania:: https://bibliotekanauki.pl/articles/2141883.pdf
Data publikacji:: 2021
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: multi-criteria decision making
fuzzy measure
choquet integral
traffic jam
Opis:: In this paper, we apply a computational model for multicriteria decision making in traffic jam problems. First, we propose a system to determine the optimal shortcut road by reading the number of cars in each street using Radio Frequency Identification (RFID). Then, we have processed the data of traffic jam problems using Choquet integral with writing algorithm and computer program as a working procedure.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2021, 15, 2; 39-43
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

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

Artykuł

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