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Rank‐based analysis method to determine OWA weights and its application in group decision making
Author(s) -
Gong Chengju,
Li Weiwei,
Yi Pingtao
Publication year - 2019
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.22116
Subject(s) - rank (graph theory) , group (periodic table) , group decision making , operator (biology) , selection (genetic algorithm) , computer science , matrix (chemical analysis) , mathematics , decision matrix , data mining , artificial intelligence , mathematical optimization , operations research , combinatorics , psychology , biochemistry , materials science , repressor , transcription factor , composite material , gene , social psychology , chemistry , organic chemistry
Abstract To determine the weights of the ordered weighted averaging (OWA) operator, a new approach that is termed as rank‐based analysis method with subjective information is developed. Available information called importance ratio that is obtained by subjective judgment of expert(s) is used in the OWA weights determination. The proposed approach is further extended to the situation of group decision making and is also used to obtain the weights of experts in this situation. In this case, the final OWA weights are obtained through a complete consistent group judgment matrix. Finally, a numerical example regarding the selection of the optimal R&D personnel is given to illustrate the application of the new method in group decision making.