10 hasil untuk "Jun-Lin Lin"
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Artikel Jurnal Teks lengkap
Numerical Analysis of Consensus Measures within Groups
Measuring the consensus for a group of ordinal-type responses is of practical importance in decision making. Many consensus measures appear in the literature, but they sometimes provide inconsistent results. Therefore, it is crucial to compare these consensus measures, and analyze their…
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Artikel Jurnal Teks lengkap
Interpolation Once Binary Search over a Sorted List
Searching over a sorted list is a classical problem in computer science. Binary Search takes at most log2n+1 tries to find an item in a sorted list of size n. Interpolation Search achieves an average time complexity of O(loglogn) for uniformly distributed data. Hybrids of Binary Search and…
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Artikel Jurnal Teks lengkap
Improving Fraudster Detection in Online Auctions by Using Neighbor-Driven Attributes
Online auction websites use a simple reputation system to help their users to evaluate the trustworthiness of sellers and buyers. However, to improve their reputation in the reputation system, fraudulent users can easily deceive the reputation system by creating fake transactions. This…
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Artikel Jurnal Teks lengkap
Online Auction Fraud Detection in Privacy-Aware Reputation Systems
With a privacy-aware reputation system, an auction website allows the buyer in a transaction to hide his/her identity from the public for privacy protection. However, fraudsters can also take advantage of this buyer-anonymized function to hide the connections between themselves and their…
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Artikel Jurnal Teks lengkap
Using Neighbor Diversity to Detect Fraudsters in Online Auctions
Online auctions attract not only legitimate businesses trying to sell their products but also fraudsters wishing to commit fraudulent transactions. Consequently, fraudster detection is crucial to ensure the continued success of online auctions. This paper proposes an approach to detect fraudsters…
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Artikel Jurnal Teks lengkap
Integrating Long Short-Term Memory and Genetic Algorithm for Short-Term Load Forecasting
Electricity load forecasting is an important task for enhancing energy efficiency and operation reliability of the power system. Forecasting the hourly electricity load of the next day assists in optimizing the resources and minimizing the energy wastage. The main motivation of this study was to…
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Artikel Jurnal
A Divide-and-Conquer Approach for Solving Fuzzy Max-Archimedean t-Norm Relational Equations
A system of fuzzy relational equations with the max-Archimedean t-norm composition was considered. The relevant literature indicated that this problem can be reduced to the problem of finding all the irredundant coverings of a binary matrix. A divide-and-conquer approach is proposed to solve this…
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Artikel Jurnal Teks lengkap
Oscillation of Repeated Max-Weighted Power Mean Compositions of Fuzzy Matrices
In the literature, the powers of a square fuzzy matrix with respect to the max-weighted power mean composition have been shown to always converge. This study considers the max-weighted power mean composition for a sequence of fuzzy matrices. It reveals that the repeated compositions of a sequence…
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Artikel Jurnal Teks lengkap
Asymmetric Loss Functions for Contract Capacity Optimization
For high-voltage and extra-high-voltage consumers, the electricity cost depends not only on the power consumed but also on the contract capacity. For the same amount of power consumed, the smaller the difference between the contract capacity and the power consumed, the smaller the electricity cost…
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Artikel Jurnal Teks lengkap
Interaction Enhanced Imperialist Competitive Algorithms
Imperialist Competitive Algorithm (ICA) is a new population-based evolutionary algorithm. It divides its population of solutions into several sub-populations, and then searches for the optimal solution through two operations: assimilation and competition. The assimilation operation moves each…