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September 10, 2025Journal Digital Technology Trend

Analysis of the Lowest Product Prices in Online Stores Using Tsukamoto Fuzzy Logic with Two Sets in a Web-Based System

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RRRahmatullah RahmatullahSriwijaya University

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Implication

This analysis employs tsukamoto fuzzy logic to recommend optimal prices in online stores, suggesting enhancements for future consumer decision-making.

Key Points

The system achieved a 95% accuracy rate for product price recommendations compared to manual searches.
Testing involved 50 electronic products and yielded an average recommended price of Rp2,625,000.
User evaluations showed a 90% satisfaction rate, highlighting the system's ease of use and responsiveness.
The study reveals limitations in using two fuzzy sets and suggests potential improvements, like incorporating a third fuzzy set.

Cite This Study

Rahmatullah Rahmatullah (2025) studied this question.

synapsesocial.com/papers/68c187179b7b07f3a06109ff https://doi.org/10.56347/jdtt.v4i1.268

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Implication

This analysis employs tsukamoto fuzzy logic to recommend optimal prices in online stores, suggesting enhancements for future consumer decision-making.

Analysis of the Lowest Product Prices in Online Stores Using Tsukamoto Fuzzy Logic with Two Sets in a Web-Based System

Discussion

Member takes

Implication

Key Points

Cite This Study

Analysis of the Lowest Product Prices in Online Stores Using Tsukamoto Fuzzy Logic with Two Sets in a Web-Based System

Discussion

Member takes

Implication

Key Points

Cite This Study

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