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101 articles for “decision problems”

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Research ArticleOpen accessPhrase in the titleA Laboratory Study of Bayesian Updating in Small Feedback-Based Decision ProblemsTakemi Fujikawa, Sobei H. OdaThis study explores small feedback-based decision problems experimentally. Conducted were the experiments in which the decision-maker’s payoff distribution was limited to either favorable distribution or unfavorable distribution. The first remarkable observation revealed complexity/loss aversion in the experiment. The second observation included the law of small numbers. Deviations from maximization were also observed. Finally, we investigated the imperfect Bayesian decision-makers observed … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 6,754 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Experimental Study of Petty Corrupt Behaviour in Small Decision Making ProblemsTakemi FujikawaThis research discusses small decision making problems and petty corruption as their practical applications with a structured economic experiment. One of examples of petty corruption considered includes demands for petty bribes by traffic officials followed by police. We examine that it is caused by subjective underweighting of rare events and its objective probabilities. This literature reports results of an experiment, … …American Journal of Applied Sciences, Vol. 2, Issue 13 · 3 Dec 2005 · 8,105 accessesView PDFCite
Research ArticleOpen accessIn the keywordsConsensus Decision Making on Scale-Free Buyer NetworksSunantha Sodsee, Maytiyanin Komkhao, Phayung MeesadProblem statement: Due to a behavior of buyers effects to a growth of marketing, then a group of agreement of buyers and buyers’ behavior on eventually placing orders are investigating. Approach: In this study, a discrete-time consensus protocol for a scale-free buyer networks is proposed. Herein, an initial purchase intention of each buyer is defined to be active or non-active … …Journal of Computer Science, Vol. 7, Issue 10 · 8 Aug 2011 · 6,714 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNormalized Relational Storage for Extensible Markup Language (XML) SchemaKamsuriah Ahmad, Reduan SamadProblem statement: The use of XML as the common formats for representing, exchanging, storing, integrating and accessing data posses many new challenges to database systems. Most of application data are stored in relational databases due to its popularity and rich development experiences over it. Therefore, how to provide a proper mapping approach from XML model to relational model become the … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Stochastic Knapsack Problem with Continuous Random CapacitySuwitchporn Witchakul, Prapaisri Sudas Na Ayudhaya, Peerayuth CharnsethikulProblem Statement: The problem of allocating a set of items in order to maximize the toal linear profit under uncertain capacity referred as a stochastic knapsack problem with continuous random capacity was studied theoretically and computationally. Approach: Two optimization based heuristic algorithms were proposed and developed for solving the problem and both efficiency and effectiveness are compared with the general … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 6,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Machine Learning Models to Predict Student Academic Performance Using Structured Educational DataHardik Ishwarbhai Patel, Dharmendra PatelThis study analyses the use of machine learning for predicting the academic performance of students using their academic information from the institution, combined with socio-economic information that comes from outside sources. The collection of information is done using structured questionnaires as well as through data extraction from the Student Information System (SIS). To increase the reliability of models built, a … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,419 accessesView PDFCite
Review ArticleOpen accessIn the abstractExploring Applications, Datasets, Algorithms, and Technologies in Satellite Image ProcessingBijeesh TV, Bejoy BJ, Michael Moses Thiruthuvanthan, Raju GAmidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence Metamodel for Controlling and Structuring the Crisis Management DomainWael G. AlheadaryCrisis management is the process through which a company deals with a significant and unpredictable incident threatening the company and its stakeholders. It aims to reduce the risk or impact of a crisis event and ensure the organization can continue to operate and prosper in the aftermath of the event. Various studies have been conducted on how to best manage … …Journal of Computer Science, Vol. 19, Issue 8 · 26 Jul 2023 · 5,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn a Proof of Inequality of PvsNPAngelo Raffaele MeoThis study is a new version of a previous paper. Its purpose is to simplify some sections of the old version and, above all, to present the proofs of some theorems which had been omitted for the sake of brevity. The analysis discussed in this study and its previous version is based on a well-known NP-complete problem which is called … …Journal of Computer Science, Vol. 19, Issue 1 · 16 Jan 2023 · 7,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwitter Sentiment Analysis for Reviewing Tourist Destinations in Saudi Arabia using Apache Spark and Machine Learning AlgorithmsWala Awadh Alasmari, Hoda Ahmed AbdelhafezThe appearance of big data has created new challenges for data analysis teams especially dealing with unstructured data in text form. Many applications increasingly include a large amount of this type of data. Example of such data is data collected from Twitter. Adequate use of Machine Learning (ML), big data tools and social media platforms can solve several problems. The … …Journal of Computer Science, Vol. 18, Issue 3 · 7 Apr 2022 · 7,241 accessesView PDFCite