Risk assessment model of mining equipment failure based on fuzzy logic
The systematic maintenance of mining machinery and equipment is the crucial factor for the
proper functioning of a mine without production process interruption. For high-quality …
proper functioning of a mine without production process interruption. For high-quality …
Evolving fuzzy and neuro-fuzzy systems: Fundamentals, stability, explainability, useability, and applications
E Lughofer - Handbook on Computer Learning and Intelligence …, 2022 - World Scientific
This chapter provides an all-round picture of the development and advances in the fields of
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …
Evolving fuzzy systems—fundamentals, reliability, interpretability, useability, applications
E Lughofer - Handbook on computational intelligence: volume 1 …, 2016 - World Scientific
This chapter provides a round picture of the development and advances in the field of
evolving fuzzy systems (EFS) made during the last decade since their first appearance in …
evolving fuzzy systems (EFS) made during the last decade since their first appearance in …
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management
Operational risk refers to deficiencies in processes, systems, people or external events,
which may generate losses for an organization. The Basel Committee on Banking …
which may generate losses for an organization. The Basel Committee on Banking …
Applying fuzzy scenarios for the measurement of operational risk
Operational risk measurement assesses the probability to suffer financial losses in an
organisation. The assessment of this risk is based primarily on the organisation's internal …
organisation. The assessment of this risk is based primarily on the organisation's internal …
Identification of Fintech driven operational risk events
F Khalil, HM Alam - Journal of the Research Society of …, 2020 - search.proquest.com
The purpose of this study is to identify the Fintech driven operational risk events as no
historical data is available. For this, the study reviews the literature to list down possible OR …
historical data is available. For this, the study reviews the literature to list down possible OR …
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management
Operational risk was one of the most important risks in the 2008 global financial crisis. This
is due to limitations of the applied models in explaining and estimating this type of risk from …
is due to limitations of the applied models in explaining and estimating this type of risk from …
Comparative analysis of fuzzy set defuzzification methods in the context of ecological risk assessment
O Užga-Rebrovs, G Kuļešova - Information Technology and …, 2017 - itms-journals.rtu.lv
Fuzzy inference systems are widely used in various areas of human activity. Their most
widespread use lies in the field of fuzzy control of technical devices of different kind. Another …
widespread use lies in the field of fuzzy control of technical devices of different kind. Another …
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events
Abstract Operational Risk (OpR) refers to the possibility of suffering losses resulting from
inadequate or failure of processes and/or technology, inadequate behaviour of people or …
inadequate or failure of processes and/or technology, inadequate behaviour of people or …
Fuzzy expert analysis of the severity of mining machinery failure
Mining machinery failure is almost an everyday occurrence. Usually the failures bare certain
consequences, which require additional financial costs to repair and restore the system to its …
consequences, which require additional financial costs to repair and restore the system to its …