Performance of Fuzzy ART neural network for group technology cell formation

Suresh, Nallan C.; Kaparthi, Shashidhar

doi:10.1080/00207549408957030

Cited by 59 publications

(37 citation statements)

References 26 publications

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“…Fuzzy ART neural network involves several differences according to ART 1: (1) non-binary input vectors can be processed; (2) there is a single weight vector connection; and (3) in addition to vigilance threshold ðqÞ, two other parameters have to be specified: a choice parameter ðaÞ and a learning rate ðbÞ (Suresh & Kaparthi, 1994).…”

Section: Fuzzy Artmentioning

confidence: 99%

The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection

Keskin

İlhan

Özkan

2010

Expert Systems with Applications

168

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Section: Fuzzy Artmentioning

confidence: 99%

The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection

Keskin

İlhan

Özkan

2010

Expert Systems with Applications

168

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“…Fuzzy ART neural network involves several changes to ART1: (1) non-binary input vectors can be processed; (2) there is a single weight vector connection and (3) in addition to vigilance threshold ( ), two other parameters have to be specified: a choice parameter ( ) and a learning rate ( ) 13 .…”

Section: Fuzzy Artmentioning

confidence: 99%

An alternative evaluation of FMEA: Fuzzy ART algorithm

Keskin

Özkan

2008

Quality & Reliability Eng

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Failure Mode and Effects Analysis (FMEA) is a technique used in the manufacturing industry to improve production quality and productivity. It is a method that evaluates possible failures in the system, design, process or service. It aims to continuously improve and decrease these kinds of failure modes. Adaptive Resonance Theory (ART) is one of the learning algorithms without consultants, which are developed for clustering problems in artificial neural networks. In the FMEA method, every failure mode in the system is analyzed according to severity, occurrence and detection. Then, risk priority number (RPN) is acquired by multiplication of these three factors and the necessary failures are improved with respect to the determined threshold value. In addition, there exist many shortcomings of the traditional FMEA method, which affect its efficiency and thus limit its realization. To respond to these difficulties, this study introduces the method named Fuzzy Adaptive Resonance Theory (Fuzzy ART), one of the ART networks, to evaluate RPN in FMEA.

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“…For each data set, we ran the test 10 times with different random number seeds. Since many clustering algorithms are known to be sensitive to the column and row orders in which the data is presented, we applied the replicated clustering approach [24] to enable a robust evaluation of the algorithm. We randomly reordered the generated data sets and these scrambled data sets are then solved by our proposed algorithm.…”

Section: Experimental Design and Research Hypothesesmentioning

confidence: 99%