Operational risk management using a fuzzy logic inference system

C León - Borradores de economia, 2009 - papers.ssrn.com
Borradores de economia, 2009papers.ssrn.com
Operational Risk (OR) results from endogenous and exogenous risk factors, as diverse and
complex to assess as human resources and technology, which may not be properly
measured using traditional quantitative approaches. Engineering has faced the same
challenges when designing practical solutions to complex multifactor and non-linear
systems where human reasoning, expert knowledge or imprecise information are valuable
inputs. One of the solutions provided by engineering is a Fuzzy Logic Inference System …
Abstract
Operational Risk (OR) results from endogenous and exogenous risk factors, as diverse and complex to assess as human resources and technology, which may not be properly measured using traditional quantitative approaches. Engineering has faced the same challenges when designing practical solutions to complex multifactor and non-linear systems where human reasoning, expert knowledge or imprecise information are valuable inputs. One of the solutions provided by engineering is a Fuzzy Logic Inference System (FLIS).
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