The methods of computing the knowledge incompleteness factor in decision support system

The paper consists of the proposition of using the method of incompleteness factors (IF) in order to model the incompleteness of knowledge in decision support systems. The authors are using cluster analysis methods along with the incompleteness factors to reason in systems with incomplete knowledge.

[1]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[2]  Tomasz Jach,et al.  Analiza hierarchicznych i niehierarchicznych algorytmów grupowania dla dokumentów tekstowych , 2009 .

[3]  Alicja Wakulicz-Deja,et al.  Inference Processes in Decision Support Systems with Incomplete Knowledge , 2011, RSKT.

[4]  Marcin S. Szczuka,et al.  A New Version of Rough Set Exploration System , 2002, Rough Sets and Current Trends in Computing.

[5]  Arthur P. Dempster,et al.  A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[6]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[7]  Agnieszka Nowak-Brzezińska,et al.  Wnioskowanie w systemach z wiedzą niepełną , 2011 .

[8]  Gerard Salton,et al.  Automatic Information Organization And Retrieval , 1968 .

[9]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .

[10]  Glenn J. Myatt.  Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining , 2006 .

[11]  Agnieszka Nowak-Brzezińska,et al.  WYBÓR ALGORYTMU GRUPOWANIA A EFEKTYWNOŚĆ WYSZUKIWANIA DOKUMENTÓW , 2010 .

[12]  Han Reichgelt.  Knowledge representation - an AI perspective , 1991, Tutorial monographs in cognitive science.

[13]  Alicja Wakulicz-Deja,et al.  Inference Processes Using Incomplete Knowledge in Decision Support Systems - Chosen Aspects , 2012, RSCTC.

[14]  T. Jach,et al.  Wybrane aspekty wnioskowania w systemach z wiedzą niepełną , 2012 .