Fuzzy logic model as a predictor of potential critical operation of an insurance company
Само за регистроване кориснике
2021
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In this paper the fuzzy logic model is presented in order to determine if it is risky for the operation of an insurance company to extend the contract with existing insured persons on the basis of the cash flow and the number of their liquidated damage claims. The fuzzy logic process consists of two input variables (the amount and number of liquidated damage claims of one client) and one output variable, the risk. The risk assessment is determined by using fuzzy risk matrix. The main focus of this paper is the attempt to form a model to alarm possible critical operations of clients which would quantify the relative impact of possible risks which could endanger the insurance company operation.
Кључне речи:
fuzzy logic / fuzzy risk matrix / risk management / frequency and size of the client’s claimИзвор:
IV Međunarodna naučna konferencija Regionalni razvoj i prekogranična saradnja : zbornik radova, 2021Издавач:
- Zaječar : Fakultet za menadžment
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Lukić, Jelena AU - Misita, Mirjana PY - 2021 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4152 AB - In this paper the fuzzy logic model is presented in order to determine if it is risky for the operation of an insurance company to extend the contract with existing insured persons on the basis of the cash flow and the number of their liquidated damage claims. The fuzzy logic process consists of two input variables (the amount and number of liquidated damage claims of one client) and one output variable, the risk. The risk assessment is determined by using fuzzy risk matrix. The main focus of this paper is the attempt to form a model to alarm possible critical operations of clients which would quantify the relative impact of possible risks which could endanger the insurance company operation. PB - Zaječar : Fakultet za menadžment C3 - IV Međunarodna naučna konferencija Regionalni razvoj i prekogranična saradnja : zbornik radova T1 - Fuzzy logic model as a predictor of potential critical operation of an insurance company UR - https://hdl.handle.net/21.15107/rcub_machinery_4152 ER -
@conference{ author = "Lukić, Jelena and Misita, Mirjana", year = "2021", abstract = "In this paper the fuzzy logic model is presented in order to determine if it is risky for the operation of an insurance company to extend the contract with existing insured persons on the basis of the cash flow and the number of their liquidated damage claims. The fuzzy logic process consists of two input variables (the amount and number of liquidated damage claims of one client) and one output variable, the risk. The risk assessment is determined by using fuzzy risk matrix. The main focus of this paper is the attempt to form a model to alarm possible critical operations of clients which would quantify the relative impact of possible risks which could endanger the insurance company operation.", publisher = "Zaječar : Fakultet za menadžment", journal = "IV Međunarodna naučna konferencija Regionalni razvoj i prekogranična saradnja : zbornik radova", title = "Fuzzy logic model as a predictor of potential critical operation of an insurance company", url = "https://hdl.handle.net/21.15107/rcub_machinery_4152" }
Lukić, J.,& Misita, M.. (2021). Fuzzy logic model as a predictor of potential critical operation of an insurance company. in IV Međunarodna naučna konferencija Regionalni razvoj i prekogranična saradnja : zbornik radova Zaječar : Fakultet za menadžment.. https://hdl.handle.net/21.15107/rcub_machinery_4152
Lukić J, Misita M. Fuzzy logic model as a predictor of potential critical operation of an insurance company. in IV Međunarodna naučna konferencija Regionalni razvoj i prekogranična saradnja : zbornik radova. 2021;. https://hdl.handle.net/21.15107/rcub_machinery_4152 .
Lukić, Jelena, Misita, Mirjana, "Fuzzy logic model as a predictor of potential critical operation of an insurance company" in IV Međunarodna naučna konferencija Regionalni razvoj i prekogranična saradnja : zbornik radova (2021), https://hdl.handle.net/21.15107/rcub_machinery_4152 .