Supporting Islamic Insurance New Hire Training Using Fuzzy Rules
نویسندگان
چکیده
منابع مشابه
A New Method for Constructing Fuzzy Decision Trees and Generating Fuzzy Classification Rules from Training Examples
A NEW METHOD FOR CONSTRUCTING FUZZY DECISION TREES AND GENERATING FUZZY CLASSIFICATION RULES FROM TRAINING EXAMPLES Shyi-Ming Chen, Shih-Yirng Lin a Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C. b Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R. O. C. Published online: 29 Oct ...
متن کاملMMAS Algorithm using Fuzzy Rules
The real life problems deal with imperfectly specified knowledge and some degree of imprecision, uncertainty or inconsistency is embedded in the problem specification. The well-founded theory of fuzzy sets is a special way to model the uncertainty. The rules in a fuzzy model contain a set of propositions, each of which restricts a fuzzy variable to a single fuzzy value by means of the predicate...
متن کاملMMAS Algorithm using Fuzzy Rules
The real life problems deal with imperfectly specified knowledge and some degree of imprecision, uncertainty or inconsistency is embedded in the problem specification. The well-founded theory of fuzzy sets is a special way to model the uncertainty. The rules in a fuzzy model contain a set of propositions, each of which restricts a fuzzy variable to a single fuzzy value by means of the predicate...
متن کاملdata mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولRetaining Customers Using Clustering and Association Rules in Insurance Industry: A Case Study
This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Software & Systems Development
سال: 2013
ISSN: 2166-0824
DOI: 10.5171/2013.420480