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Recommender system research has gained popularity recently because many businesses are willing to pay for a way to predict future user opinions. Such knowledge could simplify decision-making, improve customer satisfaction, and increase sales. We focus on the recommendation accuracy of...
Models and analytical techniques are developed to evaluate the performance of wireless or mobile communication networks that can be represented by a single buffer multiple queues system. Specifically, we developed a non-linear model of uncertainty for analysing a polling system with periodic...
Materialised views aim to improve the response time of analytical queries posed on a data warehouse. This entails that they contain information that can provide answers to most of the future queries. The selection of such information is referred to as view selection. Several view selection...
Traditional hotel efficiency studies using data envelopment analysis (DEA) admit that the different types of return to scale (RTS) exist, but no one takes the congestion phenomena into consideration. This research constructs a unified congestion approach based on DEA to evaluate the performance...
Slacks-based measurement (SBM), as an important branch of data envelopment analysis (DEA) for evaluating the efficiency of decision making units (DMUs) was firstly proposed by Tone and has been well developed in different directions. Many models based on SBM have been built, such as SBM of super...
This paper describes an application of hybrid multi criteria decision making (MCDM) technique for the selection of the best car. This study focuses on five alternatives and evaluation criteria such as safety, performance, economic aspect, exterior, convenience, dealer, warranty and emissions to...
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