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基于混合多准则决策的农业保险公司选择

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making.

作者信息

Puška Adis, Lukić Marija, Božanić Darko, Nedeljković Miroslav, Hezam Ibrahim M

机构信息

Government of Brčko District of Bosnia and Herzegovina, Department of Public Safety, Bulevara Mira 1, 76100 Brčko, Bosnia and Herzegovina.

Faculty of Business Economics and Entrepreneurship, Economics, Finance and Banking, Mitropolita Petra 8, 11000 Belgrade, Serbia.

出版信息

Entropy (Basel). 2023 Jun 20;25(6):959. doi: 10.3390/e25060959.

DOI:10.3390/e25060959
PMID:37372302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10297074/
Abstract

Crop insurance is used to reduce risk in agriculture. This research is focused on selecting an insurance company that provides the best policy conditions for crop insurance. A total of five insurance companies that provide crop insurance services in the Republic of Serbia were selected. To choose the insurance company that provides the best policy conditions for farmers, expert opinions were solicited. In addition, fuzzy methods were used to assess the weights of the various criteria and to evaluate insurance companies. The weight of each criterion was determined using a combined approach based on fuzzy LMAW (the logarithm methodology of additive weights) and entropy methods. Fuzzy LMAW was used to determine the weights subjectively through expert ratings, while fuzzy entropy was used to determine the weights objectively. The results of these methods showed that the price criterion received the highest weight. The selection of the insurance company was made using the fuzzy CRADIS (compromise ranking of alternatives, from distance to ideal solution) method. The results of this method showed that the insurance company DDOR offers the best conditions for crop insurance for farmers. These results were confirmed by a validation of the results and sensitivity analysis. Based on all of this, it was shown that fuzzy methods can be used in the selection of insurance companies.

摘要

作物保险用于降低农业风险。本研究聚焦于挑选一家能提供最佳作物保险政策条件的保险公司。在塞尔维亚共和国,共挑选了五家提供作物保险服务的保险公司。为选出能为农民提供最佳政策条件的保险公司,征求了专家意见。此外,运用模糊方法评估各项标准的权重并对保险公司进行评估。每个标准的权重通过基于模糊LMAW(加权对数法)和熵方法的组合方法来确定。模糊LMAW用于通过专家评级主观地确定权重,而模糊熵用于客观地确定权重。这些方法的结果表明价格标准获得的权重最高。使用模糊CRADIS(从距离理想解的替代方案折衷排序)方法来选择保险公司。该方法的结果表明,DDOR保险公司为农民提供了最佳的作物保险条件。这些结果通过结果验证和敏感性分析得到了证实。基于以上所有内容,表明模糊方法可用于保险公司的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6adb/10297074/ce3ebc3d0977/entropy-25-00959-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6adb/10297074/f893ee1888b3/entropy-25-00959-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6adb/10297074/ce3ebc3d0977/entropy-25-00959-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6adb/10297074/f893ee1888b3/entropy-25-00959-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6adb/10297074/ce3ebc3d0977/entropy-25-00959-g002.jpg

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Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods.使用扩展的可持续性标准和多标准分析方法对医疗废物焚烧炉进行评估和选择。
Environ Dev Sustain. 2022;24(9):11195-11225. doi: 10.1007/s10668-021-01902-2. Epub 2021 Oct 26.
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PLoS One. 2021 Feb 25;16(2):e0246857. doi: 10.1371/journal.pone.0246857. eCollection 2021.
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J Agric Econ. 2021 Feb;72(1):293-320. doi: 10.1111/1477-9552.12403. Epub 2020 Sep 29.
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