Operational Risk Management Using a Fuzzy Logic Inference System
نویسندگان
چکیده
منابع مشابه
Using fuzzy FMEA and fuzzy logic in project risk management
Risk management is one of the most important phases of project management and isthe most recently used by many researchers. In this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.Then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy FMEA a...
متن کاملDeveloping a Risk Management Model for Banking Software Development Projects Based on Fuzzy Inference System
Risk management is one of the most influential parts of project management that has a major impact on the success or failure of projects. Due to the increasing use of information technology (IT) systems in all fields and the high failure rate of IT projects in software development and production, it is essential to effectively manage these projects is essential. Therefore, this study is aimed t...
متن کاملusing fuzzy fmea and fuzzy logic in project risk management
risk management is one of the most important phases of project management and isthe most recently used by many researchers. in this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy fmea a...
متن کاملBreast Cancer Risk Assessment Using adaptive neuro-fuzzy inference system (ANFIS) and Subtractive Clustering Algorithm
Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used. First,...
متن کاملOil Well Performance Diagnosis System Using Fuzzy Logic Inference Models
This paper considers an approach to design a fuzzy logic controller to detect incipient abnormal production of wells in a reservoir. The daily operation of an oil and gas production system requires many decisions, which may affect the volumes of oil produced and the cost of production oil. These decisions are taken at different levels in the organization, but eventually they will reach the phys...
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: SSRN Electronic Journal
سال: 2009
ISSN: 1556-5068
DOI: 10.2139/ssrn.1473614