Dissertation > Excellent graduate degree dissertation topics show

Knowledge Discovery Based on Interval Intuitionistic Fuzzy Information Systems

Author: LiYiBo
Tutor: WangYanPing
School: Liaoning University of Technology
Course: Applied Mathematics
Keywords: interval intuitionistic fuzzy set information systems knowledge discovery inclusion degree distinguish between matrix rough logic
CLC: TP18
Type: Master's thesis
Year: 2014
Downloads: 23
Quote: 0
Read: Download Dissertation

Abstract


Knowledge discovery is an important part of the artificial intelligence field. Rough settheory provides a new method for knowledge acquisition in complex systems. At present,researchers discussed about knowledge reduction and rule extraction in various complete orincomplete information systems, such as classic Pawlak information systems, fuzzyinformation system, random information systems, scale-value information systems. With thedevelopment of rough set theory, a natural topic that interval-valued intuitionistic fuzzy setsand rough sets theory are combined and applied into uncertain system of knowledgediscovery and knowledge processing is generated. In this thesis, the knowledge discovery forinterval-valued intuitionistic fuzzy information system is studied, the specific contents are asfollows.(1)First, the concept of inclusion degree is applied into the knowledge acquisition ininterval-valued intuitionistic fuzzy information systems. The concept and formula of inclusiondegree of Interval Intuitionstic fuzzy set are proposed, according to the max-inclusion degree,maximum coordination reduction is given then the rule extraction. Second, incompleteinterval-valued intuitionistic fuzzy decision information systems is established and thedefinitions of its rough approximation are given. The definitions of precision reduction areshowed,and concrete method of iscernibility matrix, iscernibility function, rule extraction areintroduced.Through a simple experiment, the application of the algorithm is rationality andvalidity.(2)For the interval-valued intuitionistic fuzzy decision information system with noise,the variable precision rough sets and interval-valued intuitionistic fuzzy sets are combined.For the rough interval-valued intuitionistic fuzzy decision table, and the outputinterval-valued intuitionistic fuzzy sets are changed into common sets by using cut sets, therough membership function is definited based on this, and variable precision roughinterval-valued intuitionistic fuzzy model is established through the confidence regions, theapproximate reduction of rough interval-valued intuitionistic fuzzy decision table are given,and the method that probability decision rule be obtained is established.(3)Introducing the interval-valued intuitionistic fuzzy rough set into logic reasoning,toexpand the semantic reasoning of classical fuzzy logic. Firstly, fives logic values in theinterval-valued intuitionstic fuzzy proposition logic are given including interval-valuedintuitionistic fuzzy true, interval-valued intuitionistic fuzzy false, interval-valued intuitionisticfuzzy rough true, interval-valued intuitionistic fuzzy rough false and interval-valuedintuitionistic fuzzy rough incompatible; and then it mainly discusses the semantic ofinterval-valued intuitionistic fuzzy rough proposition formulas in approximate space;intuitonistic fuzzy rough logic is discussed on the basic of the interval-valued intuitionsticfuzzy rough semantic logic; finally, the semantic reasoning methods with various logic formulas are given.

Related Dissertations

  1. Research on Early Warning System of Company’s Marketing Risk Based on Simulated Community in the Internet,F274
  2. Research on University’s Energy Saving System Facing the Construction of Green University,G647
  3. Mine water inrush investigation Risk Assessment,TD745
  4. GIS-based broadcasting wireless coverage in Qinghai Research Resource Management System,P208
  5. Construction and management of the Harbin A Polytechnic campus card,G717
  6. The Design and Implementation of Environment & Sanitation Information Systems,TP311.52
  7. Based on C / S (Client / Server) software architecture in a modern property management information systems design and implementation,TP311.52
  8. WEB-based Teaching Materials Management System Design and Implementation,TP311.52
  9. GIS -based visualization of power system design and implementation,TM73
  10. Based on data recovery disk filter driver model and implementation,TP333.35
  11. The Research of Mergers and Acquisitions Oriented SAP Data Interation,F271
  12. Based on the combined effect of the rough planning model,O221
  13. Based on Knowledge Discovery Vocational Education Management System Design and Implementation,TP311.52
  14. Research on the Command Capability of Systems Operations Based on Information Systems,E072
  15. Bayesian Statistics and Knowledge Discovery Based on the Food Safety Risk’s Process Control,O212.8
  16. Study on Comprehensive Evaluation Model of Forest Enterprise Information System,F326.25
  17. Research of Management and Emergency System for Natural Gas Based on Web Service,TU996.8
  18. Dam-break Flood Simulation and Method Research Based on GIS,TV122.4
  19. Guizhou ATC safety information gathering system design and implementation,V351.3
  20. The Research on Management Information System of Safety Technical Measures on Coalface of Longhu Coal Mine,TP311.52
  21. Integrated Management System for Township,TP311.52

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