Open AccessAn Aggregation Approach for Group Multicriteria Assignment
Author(s) -
George Rigopoulos,
John Psarras,
Dimitris Askounis
Publication year - 2008
Publication title -
american journal of applied sciences
Language(s) - English
Resource type - Journals
eISSN - 1554-3641
pISSN - 1546-9239
DOI - 10.3844/ajassp.2008.952.958
Subject(s) - group (periodic table) , set (abstract data type) , operator (biology) , group decision making , computer science , data mining , mathematical optimization , mathematics , artificial intelligence , social psychology , psychology , biochemistry , chemistry , organic chemistry , repressor , transcription factor , gene , programming language
We presented an aggregation approach for group multicriteria assignment decisions, where group members express their preferences on problem parameters in numeric format. Individual preferences are aggregated by WOWA operator following the majority concept and a group parameter set is derived that is used as input for the classification algorithm. In addition, we present a numeric example of the approach, demonstrating its applicability. The methodology has been applied to classification problems in business environment, with sufficient results depicting its validity for such problems