Abstract
In this paper, we develop a new decision making model and apply it in political management. We use a framework based on the use of ideals in the decision process and several similarity measures such as the Hamming distance, the adequacy coefficient and the index of maximum and minimum level. For each similarity measure, we use different types of aggregation operators such as the simple average, the weighted average, the ordered weighted averaging (OWA) operator and the generalized OWA (GOWA) operator. This new approach considers several attributes and different scenarios that may occur in the uncertain environment. We see that depending on the particular type of aggregation operator used the results may lead to different decisions.
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Gil-Lafuente, A.M., Merigó, J.M. (2010). Decision Making Techniques in Political Management. In: Lodwick, W.A., Kacprzyk, J. (eds) Fuzzy Optimization. Studies in Fuzziness and Soft Computing, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13935-2_18
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DOI: https://doi.org/10.1007/978-3-642-13935-2_18
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