Uncertainty in expert systems and credit granting decisions Tomasz Ż
نویسنده
چکیده
One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.
منابع مشابه
Uncertainty in expert systems and credit granting decisions Tomasz Ż urek
One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.
متن کاملUncertainty in expert systems and credit granting decisions Tomasz
One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.
متن کاملUncertainty in expert systems and credit granting decisions
One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.
متن کاملارائه مدل ترکیبی شبکه های عصبی با بهره گیری از یادگیری جمعی به منظور ارزیابی ریسک اعتباری
Banking is a specific industry that deals with capital and risk for making profit. Credit risk as the most important risk, is an active research domain in financial risk management studies. In this paper a hybrid model for credit risk assessment which applies ensemble learning for credit granting decisions is designed. Combining clustering and classification techniques resulted in system improv...
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Economic activities and investments require resources and capital. Developing countries are faced with limited resource; thereforeو the need to select proper projects is intensified. Our country is not an exception to this rule, where lack of adequate resource allocation and planning has caused many projects to come to a standstill. This paper reports on the implementation of an expert system, ...
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