Fuzzy-Neuro Model for Intelligent Credit Risk Management
نویسندگان
چکیده
منابع مشابه
Fuzzy-Neuro Model for Intelligent Credit Risk Management
This paper presents hybrid fuzzy logic and neural network algorithm to solve credit risk management problem. Credit risk is the risk of loss due to a debtor’s non-payment of a loan or other line of credit. A method of evaluating the credit worthiness of a customer is complex and non-linear due to the diverse combinations of risk involve. To address this problem a credit scoring method is propos...
متن کاملNeuro-Fuzzy Paradigms for Intelligent Energy Management
Intelligent energy management has become one of the major research fields in electrical engineering. It constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Hybrid neuro-fuzzy paradigms have recen...
متن کاملFuzzy and Neuro-Fuzzy Intelligent Systems
Change your habit to hang or waste the time to only chat with your friends. It is done by your everyday, don't you feel bored? Now, we will show you the new habit that, actually it's a very old habit to do that can make your life more qualified. When feeling bored of always chatting with your friends all free time, you can find the book enPDF fuzzy and neuro fuzzy intelligent systems and then r...
متن کاملNeuro-Fuzzy Systems for Intelligent Scientific Computation
Ab3tract Intelligence has been envisioned as a. key component of future problem solving environments for scientific compuling. This paper describes a computationally intelligent approach to address a major problem in scientific computation i.e., the efficient solution of partial differential equations (PDEs). This approach is implemented in PYTHIA-a system that supports smart parallel PDE solve...
متن کاملFuzzy model for risk analysis
The goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. Also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project X is a good investment”. This process has to enable the decision maker to compare several alternative invest...
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: Intelligent Information Management
سال: 2012
ISSN: 2160-5912,2160-5920
DOI: 10.4236/iim.2012.225036