Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/110847
Title: Decision making in reinsurance with induced OWA operators and Minkowski distances
Author: Casanovas Ramón, Montserrat
Torres-Martínez, Agustín
Merigó Lindahl, José M.
Keywords: Reassegurances
Teoria d'operadors
Lògica borrosa
Presa de decisions (Estadística)
Reinsurance
Operator theory
Fuzzy logic
Statistical decision
Issue Date: 5-Aug-2016
Publisher: Taylor & Francis Group
Abstract: The decision to choose a reinsurance program has many complexities because it is difficult to simultaneously achieve high levels in different optimal criteria including maximum gain, minimum variance, and probability of ruin. This article suggests a new method by which, through membership functions, we can measure the distance of each alternative to an optimal result and aggregate it by using different types of aggregations. In this article, particular attention is given to the induced Minkowski ordered weighted averaging distance operator and the induced Minkowski probabilistic ordered weighted averaging distance operator. The main advantage of these operators is that they include a wide range of special cases. Thus, they can adapt efficiently to the specific needs of the calculation processes. By doing so, the reinsurance system can make better decisions by using different scenarios in the uncertain environment considered.
Note: Versió postprint del document publicat a: https://doi.org/10.1080/01969722.2016.1206767
It is part of: Cybernetics and Systems, 2016, vol. 47, num. 6, p. 460-477
Related resource: https://doi.org/10.1080/01969722.2016.1206767
URI: http://hdl.handle.net/2445/110847
ISSN: 0196-9722
Appears in Collections:Articles publicats en revistes (Empresa)

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