The Summarized Weighted Mean of Maxima Defuzzification and Its Application at the End of the Risk Assessment Process

Portik, Tamás; Pokorádi, László

doi:10.12700/aph.11.03.2014.03.11

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…The conventional Mamdani type fuzzy decision-making process is divided into four sub-processes: fuzzification, inference (firing strength and implication), composition, and defuzzification [16]. Occasionally, the composition and defuzzification subprocesses can be combined under appropriate circumstances (Figure 2).…”

Section: Fuzzy Approachmentioning

confidence: 99%

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FMEA in Smartphones: A Fuzzy Approach

et al. 2022

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Smartphones are attracting increasing interest due to how they are revolutionizing our lives. On the other hand, hardware and software failures that occur in them are continually present. This work aims to investigate these failures in a typical smartphone by collecting data from a class of people. Concerns have been raised that call into question the efficiency of applied methods for identifying and prioritizing the potential defects. The widely used hybridized engineering method, Fuzzy Failure Mode and Effect Analysis (F-FMEA), is an excellent approach to solving these problems. The F-FMEA method was applied to prioritize the potential failures based on their Severity (S), expected Occurrence (O), and the likelihood of Detectability (D). After collecting failure data from different users on a selected smartphone, two well-known defuzzification methods facing the Risk Priority Number (RPN) in F-FMEA were applied. Despite this interest, to the best of our knowledge, no one has studied smartphone failures with a technique that combines the results of different fuzzy applications. Thus, to combine the results of the derived fuzzy subsystems for the average value, we suggest a summative defuzzification method. Our findings indicate that F-FMEA with a summative defuzzification procedure is a clear improvement on the F-FMEA method. Even though the summation method modifies close results of the defuzzification one, it was shown that it provides more accurate results.

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Section: Fuzzy Approachmentioning

confidence: 99%

“…Pokorádi and other authors have focused on risk assessment methods and have contributed many investigations in the literature [16][17][18]. They have proposed several Summative Defuzzification (SMDF) methods such as centroid, bisector, and summarized weighted mean of maxima.…”

Section: Introductionmentioning

confidence: 99%

FMEA in Smartphones: A Fuzzy Approach

et al. 2022

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show abstract

“…This recommendation is presented in the form of a function, the so-called efficiency function, which shows the expected improvement of the quality of services [2] [3].…”

Section: Introductionmentioning

confidence: 99%