Autocratic decision making using group recommendations based on the OWA operator and correlation coefficients
Autor: | Shyi-Ming Chen, Bing-Han Tsai |
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Rok vydání: | 2015 |
Předmět: |
Mathematical optimization
Information Systems and Management Correlation coefficient Group (mathematics) Aggregate (data warehouse) computer.software_genre Preference Computer Science Applications Theoretical Computer Science Operator (computer programming) Similarity (network science) Artificial Intelligence Control and Systems Engineering Order (business) Data mining Value (mathematics) computer Software Mathematics |
Zdroj: | Information Sciences. 290:106-119 |
ISSN: | 0020-0255 |
DOI: | 10.1016/j.ins.2014.08.032 |
Popis: | In this paper, we propose a new method for autocratic decision making using group recommendations based on the order weighted averaging (OWA) operator and correlation coefficients. First, in the proposed method, we aggregate linguistic terms and determine preference values of alternatives for each expert. Second, we compute the similarity degrees between the aggregated preference value of each alternative for all experts and the preference value of each alternative for each expert. Finally, it calculates the correlation coefficient between the preference order of the alternatives for all experts and the preference order of the alternatives for each expert for changing the weights of experts until the group consensus degree becomes larger than or equal to a certain predefined consensus threshold. The proposed method can overcome the drawbacks of the existing methods for autocratic decision making when using group recommendations. |
Databáze: | OpenAIRE |
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