scholarly journals The Performance of Fuzzy Logic How to Fixed The Risk Level of Bug System as Hard-working Quality Software

2019 ◽  
Vol 2 (2) ◽  
pp. 80-91
Author(s):  
Agus Pamuji
Keyword(s):  
Fuzzy Logic ◽  
Risk Level ◽  
Critical Levels ◽  
End User ◽  
Software Production ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Almost All ◽  
Working Quality

The quality of software production is considered important when testing which is involves several IT Staff such as IT development, operation, end-user. One of the issue was having today is a bug processing where it almost all platforms too difficult to avoid from the bugs and even might be full of the risks. In the main of Our focus is on how to measure and attempt to reduce the number were indicated as bugs from low up to critical levels. Furthermore, we were propose with a method already known as a fuzzy logic approach to measure the severity of the presence of bugs during the testing process. there are 20 thousand even more bugs have been reported and be supposed removed with the fuzzy logic approach with various levels. As The end result is that we have found a gradual 20% reduction in various criteria in the testing process as experimentally. Therefore, fuzzy logic is considered as  effective enough to be able to improve existing methods and support to reduce bugs significantly.

The Evaluation of Performance and Quality of Preschool Using Fuzzy Logic Approach

2018 ◽  
pp. 101-111
Author(s):  
Nur Syuhada Muhammat Pazil ◽  
Norwaziah Mahmud ◽  
Siti Hafawati Jamaluddin ◽  
Umi Hanim Mazlan ◽  
Afiqah Abdul Rahman
Keyword(s):  
Fuzzy Logic ◽  
Evaluation Of Performance ◽  
Fuzzy Logic Approach ◽  
Logic Approach

The Application of a Fuzzy Approach to the Analysis of OSH Practitioners Level of Risk Acceptance

2014 ◽  
Author(s):  
Matilde A. Rodrigues ◽  
Celina P. Leão ◽  
Eusébio Nunes ◽  
Sérgio Sousa ◽  
Pedro Arezes
Keyword(s):  
Fuzzy Logic ◽  
Occupational Safety ◽  
Fuzzy Inference ◽  
Risk Level ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Risk Acceptance ◽  
Input Variables ◽  
Accident Scenarios ◽  
Level Of Risk

Organizations need constantly to take decisions about risk. In this process, Occupational Safety & Health (OSH) practitioners’ judgments have a great importance. If on one hand they have the technical knowledge about risk, on the other hand the decisions can be dependent on their level of risk acceptance. In view of this, this paper analyzes the views of the OSH practitioners about the level of risk acceptance, using the Fuzzy logic approach. A questionnaire to the analysis of the reported level of risk acceptance was developed and applied. The questionnaire included 79 risk scenarios, each accounted for the frequency of an accident with more lost workdays than a given magnitude. Through the two-step cluster analysis three groups of OSH practitioners were identified: Unacceptable, Tolerable and Realistic groups. A further analysis of the realistic group judgments about risk was performed, using the Fuzzy logic approach. The fuzzy sets of inputs and output variables were determined and the relationship between the variables was mapped through fuzzy rules. After that, the Min–Max fuzzy inference method was used. The obtained results show that the risk level is acceptable when input variables are at the lowest value and unacceptable when the risk level is high. Furthermore, the results obtained allow to better understand the uncertainty related with the OSH practitioners judgments being an important step to better understand the modeling of judgments about risk acceptance level allowing to know the different risk acceptance levels for the different accident scenarios.

A Fuzzy Logic Approach in the Definition of Risk Acceptance Boundaries in Occupational Safety and Health

2016 ◽  
Vol 2 (4) ◽  
Author(s):  
Matilde A. Rodrigues ◽  
Celina P. Leão ◽  
Eusébio Nunes ◽  
Sérgio Sousa ◽  
Pedro Arezes
Keyword(s):  
Fuzzy Logic ◽  
Occupational Safety ◽  
Fuzzy Inference ◽  
Occupational Safety And Health ◽  
Risk Level ◽  
Safety And Health ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Risk Acceptance ◽  
Level Of Risk

Organizations need to make decisions about risk acceptance, to decide about the need of risk-reducing measures. In this process, the personal judgments of occupational safety and health (OSH) practitioners have great importance. If on one hand, they have the technical knowledge about risk; on the other hand, the decisions can be dependent on their level of risk acceptance. This paper analyzes judgments of OSH practitioners about the level of risk acceptance, using the fuzzy logic approach. A questionnaire to analyze the reported level of risk acceptance was applied. The questionnaire included 79 risk scenarios, each accounting for the frequency of an accident with more lost workdays than a given magnitude. Through the two-step cluster analysis, three groups of OSH practitioners were identified: unacceptable, tolerable, and realistic groups. A further analysis of the realistic group judgments about risk was performed, using the fuzzy logic approach. The fuzzy sets of input and output variables were determined, and the relationship between the variables was mapped through fuzzy rules. After that, the min–max fuzzy inference method was used. The obtained results show that the risk level is acceptable when input variables are at the lowest value and unacceptable when the risk level is high. The obtained results allow us to better understand the modeling of OSH practitioners’ judgments about risk acceptance, noting the uncertainty related to these judgments.

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