The combined decision making method based on the statistical and fuzzy analysis

Authors:
Irina Khutsishvili
Affiliations:
Department of Computer Sciences, Faculty of Exact and Natural Sciences, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia
Venue:
ECC'09 Proceedings of the 3rd international conference on European computing conference
Year:
2009

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Abstract

The following paper offers a combined Decision Making method, which is based on four fuzzystatistical methods. This combined novel method proposes two stages of decision-making. At the first stage three fuzzy-statistical methods independently make a decision for one object. These methods are statistical method of fuzzy grades' analysis, fuzzy discrimination analysis and case based reasoning. Each of the methods makes a decision with its own approach to a problem and works with historical and expert data. These initial data are known cases of correctly made decisions with exhibited activities. The fourth method applied at the second stage makes the final decision. It carries out an expertons method that works with expert data only. The expertons method chooses the most believable decision from those offered by the above-named methods. The Decision Support system is constructed completely based on proposed combined method. The paper provides an example clearly illustrating the work of the constructed system.