Title :
A bonus-malus system in the fuzzy set theory [insurance pricing decisions]
Author :
Carretero, Raquel Caro ; Viejo, Angel Sarabia
Author_Institution :
Univ. Pontifica Comillas, Madrid, Spain
Abstract :
Describes how fuzzy logic can be used to make insurance pricing decisions. The fuzzy set theory is developed to improve the classical bonus-malus rating system in automobile insurance. The paper presents a fuzzy version of a symmetrical model based on Zimmermann´s approach
Keywords :
decision theory; fuzzy logic; fuzzy set theory; insurance; automobile insurance; classical bonus-malus rating system; insurance pricing decisions; symmetrical model; Accidents; Automobiles; Decision making; Frequency; Fuzzy set theory; Fuzzy sets; Insurance; Licenses; Mathematical model; Stochastic processes;
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5877-5
DOI :
10.1109/FUZZY.2000.839192
