Title :
Study on the consumer satisfaction of agricultural insurance based on fuzzy comprehensive evaluation and Markov chain method
Author :
Li Lin ; Jian Wang ; Junyan Zhao
Author_Institution :
Hebei Software Inst., Agric. Univ. of Hebei, Baoding, China
Abstract :
The satisfaction analysis is often used in management methods; there is customer satisfaction analysis in marketing management and employee satisfaction in human resource management, and so on. Satisfaction is related to a wide range of analytical applications, this article chooses agricultural insurance to study as an object and uses fuzzy evaluation method for the agricultural insurance satisfaction of farmers with the static analysis, and then uses Markov chain and the state transition matrix method for dynamic analysis of agricultural insurance services through designing the questionnaire, field research in the Hebei Province, in order to know the operation of agricultural insurance status and in-depth understanding of the development of agricultural insurance to provide an empirical basis. Knowing the distribution of agricultural insurance satisfaction, we can put forward to increase the capacity of agricultural insurance, expand coverage, improve the quality of service of agricultural insurance, and strengthen the evaluation system of the agricultural insurance services.
Keywords :
Markov processes; agriculture; customer satisfaction; customer services; insurance; matrix algebra; Hebei province; Markov chain method; agricultural insurance; consumer satisfaction; farmers; fuzzy comprehensive evaluation; quality of service; state transition matrix; static analysis; Companies; Customer satisfaction; Government; Industries; Insurance; Markov processes; Agricultural Insurance; Fuzzy Comprehensive Evaluation; Markov chain; Satisfaction;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569178