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India is rated second largest country in the world for its population. India still is a developing country and is progressing towards financial stability. Various different banks exists abide by the rule of Reserve Bank of India. To make India strengthen economically banks are issuing loans to people, institutes, industries and countries. Hence there is a need of an effective guiding system for banks that advice bank authorities how to give loans, what are different plans for loans are possible, what is the maximum revenue that can be earned from a business loan. The paper presents an effective advisory system for banks to take such crucial decision. The proposed system is developed with artificial neural networks and type 2 fuzzy logic. The structure of artificial neural network, training data, fuzzy membership functions used and implementation details are also discussed in this paper.

Keywords

Artificial Neural Networks, Type 2 Fuzzy Logic, Neuro-fuzzy Systems, Bank Loan

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References

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Customized Mining of Big Web Resources using an Intelligent Mobile Agent: A Case of Product Comparison, Evaluation and Recommendation

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Authors

Priti Srinivas Sajja ¹

Affiliations
1 Department of Computer Science, Sardar Patel University, IN

Source

National Journal of System and Information Technology, Vol 12, No 2 (2019), Pagination: 79-96

Abstract

Web has become a large and important source of information in routine as well as spectacular decisions related to one life. Web is a collaborative platform containing big amount of data which are really unstructured and unorganized. This research work proposes a light weight fuzzy mobile agent developed in java that works in conjunction of a multi-layer architecture. The agent utilizes user profiles containing information about prospective users in fuzzy manner. Later these values are converted into crisp values and sent to the mobile agent. The agent mines Web for the required information and presents the information to users after fine tuning with the underlying fuzzy rule based system along with justification. Using the architecture a prototype system is developed for product comparison, evaluation and recommendation. The paper discusses the problem, objectives of the research work, literature survey, architecture of the system, fuzzy user profile with membership function and java code segment of mobile agent. Sample outputs are future extension (such as mobile app with image processing interface and big data) on the work are also presented here.

Keywords

Big Web, Mining, Intelligent, Mobile, Agent.

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