scholarly journals Risk Assessment of River-Type Hydropower Plants by Using Fuzzy Logic Approach

2011 ◽  
Author(s):  
S. Kucukali
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Hydropower Plants ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
River Type

scholarly journals Supply chain risk assessment approach for process quality risks

2017 ◽  
Vol 34 (7) ◽  
pp. 940-954 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Xie Fang ◽  
Samir Dani ◽  
Jiju Antony
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Failure Modes ◽  
Design Stage ◽  
Security Risks ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process-related failure modes within global supply chain context. Design/methodology/approach The case study of a Printed Circuit Board Company in China is used as a platform for conducting the research. Using data triangulation, the data are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting insights. Findings Fuzzy logic approach for failure mode and effect analysis (FMEA) provides a structured approach for understanding complex behaviour of failure modes and their associated risks for products and processes. Today’s managers should conduct robust risk assessment during the design stage to avoid product safety and security risks such as recalls. Research limitations/implications The research is based on the single case study and multiple cases from different industry sectors may provide some additional insights. Originality/value The study attempts to mitigate the root causes of product and processes using fuzzy approach to FMEA in supply chain network.

Fuzzy Logic Approach in Risk Assessment

2018 ◽  
pp. 6789-6805
Author(s):  
Çetin Karahan ◽  
Esra Ayça Güzeldereli ◽  
Aslıhan Tüfekci
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Crucial Role ◽  
Quantitative Methods ◽  
Business Management ◽  
Human Reasoning ◽  
Action Plans ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Risk is the likelihood of occurrence of any event that may obstruct the ability of organizations to achieve their strategic, financial and operational goals. It is of profound importance for the business management to detect risks and determine appropriate actions against in time. Risk assessment is a continuous and recursive process aimed at maximization of the use of opportunities while minimizing threats. There is a tendency in the field of risk assessment to prefer more quantitative methods to reduce unclarity. One such method is fuzzy logic. This study investigates fuzzy logic as an alternative to the classical methods that have been used for the purposes of risk assessment, which plays a crucial role in business action plans. Due to its similarity to the process of human reasoning and its success in cases of unclarity, fuzzy logic offers a number of advantages in this regard.

scholarly journals A FUZZY LOGIC APPROACH FOR DRONE CAPABILITY ANALYSIS ON DISASTER RISK ASSESSMENT

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 485-489
Author(s):  
P. Zlateva ◽  
S. Hristozov ◽  
D. Velev
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Disaster Risk ◽  
External Input ◽  
Logic Model ◽  
Disaster Risk Assessment ◽  
Fuzzy Logic Model ◽  
Capability Analysis ◽  
Fuzzy Logic Approach ◽  
Logic Approach

<p><strong>Abstract.</strong> The paper proposes a fuzzy logic approach for drone capability analysis on disaster risk assessment. In particular, a fuzzy logic model is designed as a hierarchical system with several inputs and one output. The system inputs corresponds to the linguistic variables, describing the of levels of the external and internal input factors, which determine the capability levels of analysed drone in respect to disaster risk assessment. As external input factors are used, for example: disaster type (flood, landslide, wildfire); weather conditions (wind speed, fog, cloud cover); operational area (urban, mountain, plain), etc. As internal input factors are considered the drone characteristics such as drone type, flight performance (stall speed, turn radius, flight endurance), payload capabilities (camera resolution, accuracy, weight, sensors), etc. The fuzzy logic system output gives the level of the drone capability on disaster risk assessment in defined conditions. The model is designed in <i>Matlab</i> computer environment using Fuzzy Logic Toolbox. Several computer simulations are carried out to validate the proposed model. The designed fuzzy logic model is part of an information system for disaster risk management using drones, which is under development.</p>

Risk Assessment in Process Industries Using Fuzzy Logic Approach

2020 ◽  
pp. 401-411
Author(s):  
Dorota Siuta ◽  
Agata Kotynia ◽  
Bożena Kukfisz ◽  
Waldemar Szaferski
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Process Industries ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Fuzzy Logic Approach in Risk Assessment

2019 ◽  
pp. 1441-1460
Author(s):  
Çetin Karahan ◽  
Esra Ayça Güzeldereli ◽  
Aslıhan Tüfekci
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Crucial Role ◽  
Quantitative Methods ◽  
Business Management ◽  
Human Reasoning ◽  
Action Plans ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Risk is the likelihood of occurrence of any event that may obstruct the ability of organizations to achieve their strategic, financial, and operational goals. It is of profound importance for the business management to detect risks and determine appropriate actions in time. Risk assessment is a continuous and recursive process aimed at maximization of the use of opportunities while minimizing threats. There is a tendency in the field of risk assessment to prefer more quantitative methods to reduce unclarity. One such method is fuzzy logic. This chapter investigates fuzzy logic as an alternative to the classical methods that have been used for the purposes of risk assessment, which plays a crucial role in business action plans. Due to its similarity to the process of human reasoning and its success in cases of unclarity, fuzzy logic offers a number of advantages in this regard.

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