The use of inductive clustering algorithms for forming expert groups in large-scale innovation projects

• Autorzy: Wójcik W. , Osypenko V. , Lytvynenko V.

Warianty tytułu

PL

Zastosowanie algorytmów klasteryzacji indukcyjnej do tworzenia grup eksperckich w projektach innowacyjnych o dużej skali

• Języki publikacji: EN

Abstrakty

EN

The unique approach to solving the problem of choosing experts groups in the system information-analytical research based on the use of induetive modeling paradigm to solving the cluster analysis tasks is proposed. This approach can also been used in many fields of applied researches pertaining to the problems of structuring, classification, clustering and modeling of complex systems.

PL

Zaproponowano unikalne podejście do rozwiązania problemu wyboru grup eksperckich w systemowych badaniach informatyczno-analitycznych w oparciu o paradygmat modelowania indukcyjnego stosowanego do analizy skupień. Takie podejście może być również zastosowane w wielu dziedzinach badań stosowanych odnoszących się do problemów strukturyzacji, klasyfikacji, grupowania i modelowania złożonych systemów.

Słowa kluczowe

EN

clustering; criterion; target feature; inductive modeling; analytical research

PL

klasteryzacja; kryterium; cecha docelowa; modelowanie indukcyjne; badania analityczne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Elektronika : konstrukcje, technologie, zastosowania
• Rocznik: 2013
• Tom: Vol. 54, nr 8
• Strony: 45--48
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Wójcik W.

• Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Institute of Electronics & Information Technology, Poland, Lublin

autor

Osypenko V.

• National University of Life and Environmental Sciences of Ukrainę, Department of Automation and Robotics Systems, Kyiv, Ukraine

autor

Lytvynenko V.

• Kherson National Technical University, Department of Informatics & Computing Technology, Ukraine

Bibliografia

• [1] Osypenko V. V., The Results Estimation in the Integrated System-Anaiytical investigations Technologies, USiM, Nº 1/2012, 26-31 (in Russian).
• [2] Larichev O., Theory and methods of decision making, Moscow: Logos, 2002 (in Russian).
• [3] Arrow Kenneth J., Social Choice and Individual Values, 1963.
• [4] Snytyuk V. E., Rifat M. A., Models and methods for determining the competence of experts on the basis of the axioms of unbiasedness, News of ChITI, Nº 4, 2000, 121-126 (in Russian).
• [5] Gerasimov B. M., Evtuhova T. I., Information-analytical support for technology transfer, Avtomatizatsiya virobnichih protsesiv, Nº 2 (19), 2004, 118-124 (in Russian).
• [6] Saaty T., Decision-making. The method of analysis of hierarchies. Translated from English. Moscow: Radio and Communications, 1993 (in Russian).
• [7] Delphi Method: Techniques and Applications, Harold A. Linstone (Editor), Murray Turoff (Editor), Addison-Wesley Educational Publishers Inc, 1975.
• [8] Ivachnenko A. G., Objective clustering based on the theory of selforganization models, Automation, Nº 5, 1987, 6-15 (in Russian).
• [9] lvachnenko A. G., The inductive method of self-organizing models of complex systems, Naukova Dumka, 1982, (in Russian).
• [10] Ivachnenko A. G., The use of multi-alternative pattern recognition algorithms and group method of data handling for processing of expert assessment in global capital investment projects, Cybernetics and calc. technique, MY, 133, 2001, 3-7 (in Russian).
• [11] Osypenko V. V., Solution of a Double Clusterization Problem with the Use of Self-Organization, Nº 3, vol. 21, 1988, 77-82.
• [12] Osypenko V. V., The inductive algorithm of cluster analysis in the toolbox of system information-analytical research, USiM, Nº 2, 2013, 59-64 (in Russian).
• [13] Sarycheva L. V., The objective cluster analysis of data based on GMDH, Control and Informatics, Nº 2, 2008, 86-104 (in Russian).
• [14] Mandel I. D. Cluster analysis, Moscow: Finance and Statistics, 1988 (in Russian).
• [15] Lytvynenko V. I., Cluster analysis of data based on a modified immune network, Control systems and machines, USiM, Nº 1, 2009, pp. 54-61 (in Russian).