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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- <p>Curriculum planning<br />Cognitive styles<br />Teaching -- Methodology<br />Engineering -- Study and teaching<br />Chi-square test<br />Quality function deployment<br />Motivation in education</p> (1)
- <p>Health services administration -- Decision making -- Computer simulation<br />Medical informatics<br />Decision support systems<br />Discrete-time systems -- Simulation methods<br />Queuing theory</p> (1)
- <p>Learning classifier systems<br />Genetic programming (Computer science)<br />Machine learning -- Mathematical models</p> (1)
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- Discrete event simulation (1)
Articles 1 - 4 of 4
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Rote-Lcs Learning Classifier System For Classification And Prediction, Benjamin Daniels
Rote-Lcs Learning Classifier System For Classification And Prediction, Benjamin Daniels
Masters Theses
"Machine Learning (ML) involves the use of computer algorithms to solve for approximate solutions to problems with large, complex search spaces. Such problems have no known solution method, and search spaces too large to allow brute force search to be feasible. Evolutionary algorithms (EA) are a subset of machine learning algorithms which simulate fundamental concepts of evolution. EAs do not guarantee a perfect solution, but rather facilitate convergence to a solution of which the accuracy depends on a given EA's learning architecture and the dynamics of the problem.
Learning classifier systems (LCS) are algorithms comprising a subset of EAs. The …
A Valuation Model For Two-Stage Contract Negotiations Over Multiple Interdependent Issues, Nnaemeka U. Amaeshi
A Valuation Model For Two-Stage Contract Negotiations Over Multiple Interdependent Issues, Nnaemeka U. Amaeshi
Masters Theses
"Most real-world negotiation scenarios involve multiple interdependent issues over which the negotiating parties will seek an agreement. Simultaneous negotiation over multiple interdependent issues is an especially challenging problem because utility functions of negotiating agents are typically nonlinear and difficult to analyze. Also, negotiations often happen under circumstances of incomplete information, where either party has either little or inaccurate information about the preferences or utilities of the other party. Consequently, negotiations may go over multiple rounds until a mutually acceptable agreement is reached. The objective of this research is to create a quantitative model of decision-making that helps one negotiating party …
Utilizing Learning Style Preferences And Quality Function Deployment For Curriculum Development, Julie M. Ezzell
Utilizing Learning Style Preferences And Quality Function Deployment For Curriculum Development, Julie M. Ezzell
Masters Theses
"Workplace requirements continually evolve to keep pace with the developing global market. To meet ever increasing standards, educational institutions have been investigating methods to prepare students for their future employment. Course modifications should be carefully considered to meet the requirements of all stakeholders, including those of the students. The objective of this research was to provide students with an overall better learning experience that tailors the teaching methods to his/her individual learning preferences. To meet this objective, a comprehensive survey was provided to an undergraduate course in quality. The survey documented the student's individuality when learning and made note of …
A Decision Support Simulation Model For Bed Management In Healthcare, Raja A. Baru
A Decision Support Simulation Model For Bed Management In Healthcare, Raja A. Baru
Masters Theses
"In order to provide access to care in a timely manner, it is necessary to effectively manage the allocation of limited resources such as beds. Bed management is key to the effective delivery of high-quality and low-cost healthcare. An efficient utilization of beds requires a detailed understanding of the hospital's operational behavior. It is necessary to understand the behavior of a hospital in order to make necessary adjustments to its resources, and policies, which can improve patient's access to care. The aim of this research was to develop a discrete event simulation to assist in planning and staff scheduling decisions. …