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A Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison
Author(s) -
Bangweon Song,
Seokjoong Kang
Publication year - 2016
Publication title -
advances in decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.178
H-Index - 13
eISSN - 2090-3367
pISSN - 2090-3359
DOI - 10.1155/2016/8963214
Subject(s) - analytic hierarchy process , consistency (knowledge bases) , pairwise comparison , hierarchy , ranking (information retrieval) , computer science , process (computing) , data mining , statistics , mathematics , operations research , information retrieval , artificial intelligence , economics , market economy , operating system
The analytic hierarchy process (AHP) has advantages that the whole number of comparisons can be reduced via a hierarchy structure and the consistency of responses verified via a consistency ratio. However, at the same time, the AHP has disadvantages that values vary according to the form of hierarchy structure and it is difficult to maintain consistency itself among responses. If the number of comparisons can be reduced, a comparison within a single level is optimal, and if comparison can be made while the priority among entities is maintained, consistency may be automatically maintained. Thus, in this study, we propose a method of assigning weights, which applies hierarchy structure of AHP and pairwise comparison but complements the disadvantages of AHP. This method has advantages that the number of comparisons can be reduced and also consistency is automatically maintained via determination of priorities first on multiple entities and subsequent comparisons between entities with adjoined priorities

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