Fuzzy Tsukamoto for Determinen Linen Priority

,; Hermawan*, Adan; Ranggadara, Indra; ,; Suharso, Aries; ,; Prihandi, Ifan; ,; Suhendra,; ,

doi:10.35940/ijeat.a9764.109119

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Fuzzy logic is created because boolean logic does not have high accuracy, it only has 0 and 1 logic numbers [5]. That's why the Fuzzy logic is closer in spirit to human thinking and natural language than conventional logical systems [6].…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Sugeno Algorithm for Clustering Document Management

Kamila¹

2020

IJATCSE

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The administration process exists in every department of the company, and it has caused a large quantity of the documents. Before the documents are processed, the administration staff need to classify which document should be processed first. Because the clustering process has not integrated into a system, it takes a long time, and it caused the administration process got delayed. With this problem, it is expected the document management system using Fuzzy Sugeno will help to reduce the problems. Fuzzy Sugeno works on clustering the document by the value of the category and the acceptance input by the user. The Fuzzy Sugeno helps administration staff to know which documents are in high priority and low priority to prevent the delay of the administration process. The document management system using Fuzzy Sugeno is help the administration staff to process the documents efficiently and it is improving the administration process in the company.

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Section: Related Workmentioning

confidence: 99%

Fuzzy Sugeno Algorithm for Clustering Document Management

Kamila¹

2020

IJATCSE

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“…The Tsukamoto method is an extension of monotonous reasoning. In the Tsukamoto method, each consequence of the IF-THEN rules must be presented with a fuzzy set with a monotonous membership function [22]. The Tsukamoto method's defuzzification makes each rule's inference output crisp based on the α-predicate (fire strength).…”

Section: Defuzzificationmentioning

confidence: 99%

Smallest of Maximum to find α-predicate for DeterminingCattle Health Conditions

2020

IJATCSE

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Beef cattle is one of the livestock that can produce various human needs. All parts of a cattle, ranging from meat, skin, bones to cattle dung, can be utilized so that beef cattle are rate to have high economic value and become one of the common livestock to be cultivated. In beef cattle breeding, there are obstacles in maintaining and achieving the desired production results, one of which is cattle's death due to disease infection. Lose one or a group of cattle unpredictably, effecting a loss of investment and losses for the breeder. Biosecurity is required to reduce the risk of death from disease and maintain beef cattle's health and quality. However, the lack of awareness and concern of breeders in the biosecurity implementation has resulted in the high mortality rate for beef cattle in Indonesia. This study tries to apply the fuzzy algorithm into an animal inspection expert system at the Cimanggu Animal Clinic. The expert system can support collaboration between veterinarians and breeders in the implementation of biosecurity. The Smallest of the Maximum method provides to get the αpredicate from the ranking of possible diagnoses of cattle diseases. Then α-predicate is reprocessed by defuzzification of the Tsukamoto model and produces handling suggestions and information on the cattle's condition.

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Application of determining the price of batik using Fuzzy Tsukamoto

Simabur

Tempola

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Competition in the world of business is something that is definite and occur in all kinds of b business. One of the ways that businesses keep running is to satisfy the customer. Batik business sales in Indonesia continues to grow, this is because one of the non-verbal culture heritage objects is Batik. But not all business people have good luck, this is because they are unable to satisfy customers. Things that make customers upset one of the types of batik is not in accordance with the price. Fuzzy Tsukamoto is one method that there is fuzzy for the determination of the decision. No exception to the price of batik. This study uses Tsukamoto fuzzy to determine the price of batik. The results of the implementation of the Tsukamoto fuzzy method in determining the price of batik in accordance with the price of fabric, the manufacturing process, batik motifs and colours. This system can also help determine the price of batik in accordance with the quality of batik.

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Fuzzy Tsukamoto for Determinen Linen Priority

Cited by 3 publications

References 2 publications

Fuzzy Sugeno Algorithm for Clustering Document Management

Fuzzy Sugeno Algorithm for Clustering Document Management

Smallest of Maximum to find α-predicate for DeterminingCattle Health Conditions

Application of determining the price of batik using Fuzzy Tsukamoto

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