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https://link.springer.com/article/10.1007/s10479-016-2154-z
Mar 08, 2016 · In this paper, we propose a Decision Support System based on the MUSA method and the continuous genetic algorithm in order to measure job satisfaction. The objective is to help organizations evaluate and measure their employees’ satisfaction. Our study is composed of two parts.Cited by: 4
https://www.researchgate.net/post/Decision_support_system_using_genetic_algorithm
Study the decision support system of network optimization. The foundation of model base is argued in detail, several optimal models are proposed according to different optimal goals. Also discusse several problems in the computing process with Genetic Algorithms.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916482/
In this Letter, a clinical decision support system based on a hybrid genetic algorithm – Bayesian classification framework is presented, which combines the results of the Pap test with those of the HPV DNA test in order to exploit the benefits of each method and produce more accurate outcomes.Cited by: 3
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678452/
Aug 08, 2015 · The genetic algorithm. A GA is a metaheuristic method, inspired by the laws of genetics, trying to find useful solutions to complex problems. In this method, first some random solutions (individuals) are generated each containing several properties (chromosomes).Cited by: 27
https://www.softcomputing.net/jikm-ac.pdf
Fig. 1. Concurrent unsupervised and genetic programming models for decision support systems. Fig. 2. A simple scenario of the air combat. The mission operator will base the decisions on a number of decision factors, such as: • fuel used and weapon status of fighter jets in the area; • interrupt time required by the fighter jets in the ground
https://en.wikipedia.org/wiki/List_of_genetic_algorithm_applications
Genetic Algorithm for Rule Set Production Scheduling applications , including job-shop scheduling and scheduling in printed circuit board assembly. [14] The objective being to schedule jobs in a sequence-dependent or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness.
https://www.researchgate.net/post/which_data_mining_algorithm_must_be_used_in_Decision_Supporting_System_for_heart_disease
The paper presents a decision support system for heart diseases classification based on support vector machines (SVM) and integer-coded genetic algorithm (GA). Simple Support Vector Machine (SSVM) algorithm has been used to determine the support vectors in a fast, iterative manner.
http://www.ijcsit.com/docs/Volume%205/vol5issue01/ijcsit20140501100.pdf
healthcare decision support system. An important characteristic of the Artificial Intelligence is that it can support the creation as well as utilization of the healthcare knowledge. The main objective of this paper is To present recent trends in healthcare Decision Support Systems. -To discuss methodologies used in Health Care.
https://quizlet.com/34061871/decision-support-systems-chpt-9-flash-cards/
Genetic algorithms were first used to simulate millions of years in biological, geological, and ecosystem evolution in just a few minutes on a computer. Genetic algorithm software is being used to model a variety of scientific, technical, and business processes.
https://en.wikipedia.org/wiki/Clinical_Decision_Support
A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is, assistance with clinical decision-making tasks. A working definition has been proposed by Robert Hayward of the Centre for Health Evidence: "Clinical decision support systems link health …
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