Dissertation > Excellent graduate degree dissertation topics show

Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms

Author: ChenAnPing
Tutor: ZhongYuBin
School: Guangzhou University
Course: Applied Mathematics
Keywords: Decision Support System Fuzzy Synthetic Evaluation BP Neural Networks Genetic Algorithms Parallel Algorithms
Type: Master's thesis
Year: 2011
Downloads: 20
Quote: 0
Read: Download Dissertation


The Decision Support System (DSS) is a computer application system that helps decision makers to make scientific decisions in the form of man-machine interaction, and it uses computers as the tool and applys leadership science as well as decision -making related theories and methods to provide various information for decision makers. DSS consisits of data bases, model bases, knowledge bases, method bases and corresponding management systems. In the process of decisiong making, model bases play a very important role. And a key step for successfully designing DSS is choosing an efficient and resonable model base. However, models in DSS generally are abundant and changing frequently. Aiming at this problem, this paper mainly studies the design and the application of the optimal models in synthetic evaluation DSS.The existing synthetic evaluations are Analytical Hierarchy Process(AHP), Principal Component Analysis (PCA), Data Envelopment Analysis(DEA), Fuzzy Synthetic Evaluation(FSE), Artificial Neural Network (ANN) and evaluation model s that utilize two or more methods above. At present, FSE and ANN are two widely used synthetic evaluation methods. On the basis of further studying the above evaluation models, a fuzzy synthetic evaluation model based on parallel genetic neural networks is proposed by introducing parallel thought. Specifically, basic theories of synthetic evaluations and DSS are first introduced; then FSE, NN, GA and Parallel Algorithm (PA) are studied; in what followed is a fuzzy synthetic model based on parallel genetic neural networks that is established according to demands and features of enterprise synthetic evaluations. This model is based on the fuzzy analytic synthetic evaluation model and uses BP network to determine the fuzzy weight vector and the global search capability of GA to find the network’s initial optimal weights and thresholds to speed up the training process and to overcome some shortcomings of BP algorithm, such as sensitivity to initial values and local optimum. But, GA itself is a time consuming algorithm, so we introduce PA to speed up its convergence by taking into consideration of GA’s internal parallelism. At last, the performance and evaluation results of this model are made a comparison to counterparts of fuzzy analytic synthetic evaluation model, BP neural network based fuzzy synthetic evaluation model and genetic neural network based fuzzy synthetic evaluation model.The example shows that taking into consideration both time efficiency and evaluation results, parallel genetic neural network based fuzzy synthetic evaluation model is more reasonable.

Related Dissertations

  1. Development of the on-line Training and Examination System of Army,TP311.52
  2. Crop Growth Model-Based Decision Support System for Greenhouse Cucumber Nitrogen Management,S642.2
  3. Based on Genetic Algorithm Pishihang irrigation canal water allocation marshalling model of,S274
  4. Genetic Algorithm in logistics and warehousing Optimization Research,F259.2
  5. Mining resources based on genetic algorithm optimization model of,O224
  6. The Research and Application of Modified Algorithms About Fuzzy Predictive Functional Control,TP273
  7. Research on the Marshalling-scheduling Model and Algorithms of Freight Trains Based on Game Theory,O225
  8. Multi-directional Mutation Genetic Algorithm and Research on Neural Network Optimization,TP18
  9. The Application of Using Genetic Algorithms on Universities Course-arranging System,TP18
  10. Research on Mobile Robot Path Planning and Simulation Realization,TP242
  11. Research on Routing Algorithmin Sensor Networks Based on Cluster with Mobile Sink,TP212.9
  12. Decision Support System of Vehicle Scheduling in Double Level Garage,TP242
  13. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  14. Optimal Riser Design of Steel Casting Based on CAE Analysis,TG260
  15. In-furnace Temperature Information Included Combustion Optimization of a Utility Boiler,TK227.1
  16. Research and Implementation of medical resources management decision support system,TP311.52
  17. Research of Fuzzing Based on Genetic Algorithm,TP311.53
  18. Clothing Distribution Network System Design and Optimization,TP393.09
  19. Multi-Objective Optimization Research on Construction Project Management,TU71
  20. Finite Element Analysis of Magnetic Levitation Planar Motor,TM359.9

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
© 2012 www.DissertationTopic.Net  Mobile