Dissertation > Excellent graduate degree dissertation topics show

The Study of Multi-criteria Classification Decision-making Problem Based on Rough Set Theory

Author: YangXiZuo
Tutor: ZuoLingYun
School: Hebei University of Technology
Course: Management Science and Engineering
Keywords: rough set theory classification decision decision rule
CLC: C934
Type: Master's thesis
Year: 2012
Downloads: 25
Quote: 0
Read: Download Dissertation


Decision-making is the core of modern management problem, multi-criteria decisionproblem occupies a large proportion in decision-making problems in the real-world. Someimportant characteristics of rough set theory make it can be applied to solve the multi-criteriaclassification decision problem.Input information is that decision-making data which decision makers use their experiencein the classification decision problem. Rough set theory can deal with both quantitative data andqualitative data, and it is not necessary to remove the inconsistent data before the analysis of thedata. For the output information, rough set theory can obtain statement of specific attributesabout problems without any additional preference information between attributes. In recent years,decision makers increasingly realize that intelligibility of decision rule is very important for them.The study of rough set theory in the multi-criteria decision problem is obtained more attention.A multi-criterion classification decision making problem is studied in this paper, whichassign alternatives observations/objects into predefined homogenous groups with order. In thispaper, a large number of the literatures of multi-criteria classification decision problem based onrough set theory are studied. By studying the dominance-based rough approximation, method ofdominance-based rough set of multi-criteria classification decision general solving steps isdiscussed. At last, the research process is analyzed using instance.In the problem of wine quality classification, this paper contrasts the different result ifconsider the domination relations of decision attribute, and analyzes the advantage of decisionrules when domination relation of the decision attribute is considered, which enriches the theoryof multi-criteria classification decision problem.This paper provides some reference for the further research and exploration of multi-criteriadecision problem based on rough set theory.

Related Dissertations

  1. Text Categorization Based on Rough Set Theory,TP18
  2. Study on the Engineering Properties of Loess and the Stability of Loess Slope Along a Railway,U212.22
  3. Based on RS the Wetland Dynamic Monitor and the Change Driving Forces Analysis the Case of Jiangsu Province Sheyang Country,P237
  4. Research and Improvement on the Decision Tree Classification Algorithm of Data Mining,TP311.13
  5. A Research on Hand Gesture Recognition Algorithm and Design of Interactive Prototype System for Intelligent,TP391.41
  6. Experimental study of the knowledge - based remote sensing classification,P237
  7. Yunnan Highway Traffic Safety Prevention,U492.8
  8. Support Vector Machine and Its Application to Regional Water Resources Sustainable Utilization,S273
  9. Research of Iris Recognition Based on Wavelet Transform Combined with Rough Sets Theory,TP391.41
  10. Studies on Methods of Knowledge Acquiration in Rough Sets,TP18
  11. Research and Implementation of E-commerce Recommendation and Visualization System Based on Rough Set,J524
  12. Rough Set and Grey-relational Theory in Case-based Reasoning,TP18
  13. The Research on Extraction Methods of Wetlands from Remote Sensing Image,P931.1
  14. Multi-temporal Mining Land Use/Cover Change Detection and Driving Factors Analysis,F301
  15. Knowledge Reduction in Ordered Information System Based on Dominance Relation Rough Set Theory,O159
  16. Research and Implementation of Decision Rule Classifier Based on SVM,TP181
  17. Security Analysis of Electric Power Communication Networks and Electric Power Information Based on Rough Set,TN915.853
  18. Research on P2P Traffic Identification Technology,TP393.06
  19. Research on Potential VIP Clients in Retail Industry Based on Data Mining Technology,TP311.135.3
  20. Power System Fault Diagnosis Based on Rough Set Theory and Bayesian Network,TM711
  21. Based on Rough Set and Neural Network Prediction of sales,TP183

CLC: > Social Sciences > Management > Decision Sciences
© 2012 www.DissertationTopic.Net  Mobile