Fuzzy Logic
.K.)
Project description
Coursework Assignment
It has to be about the finance modeling. And a case study approach. Using fuzzy logic methods. Fusing a fuzzy network with a fist time approach or comparing to existing approaches.
Fuzzy network vs. fuzzy system
Formatting guidelines
MS Word template for IEEE Conference Papers
Approximate length
3000 words / 6 pages
Core sections
Title
Abstract
Keywords
Introduction
Methodology
Results
Evaluation
Conclusion
References
Optional sections
Appendix
Acknowledgement
Main questions
What has been done
Why has it been done
How has it been done
Novelty contribution
Methods, e.g. theoretical algorithms, software programs
Problems, e.g. application areas, case studies
Methods and problems
Comparative performance
Quantitative, e.g. numerical figures, formal descriptions
Qualitative, e.g. verbal statements, informal descriptions
Quantitative and qualitative
Sample methods
Standard fuzzy system
Chained fuzzy system
Hierarchical fuzzy system
Networked fuzzy system
Method attributes
Feasibility
Accuracy
Efficiency
Transparency
Sample problems
Environment
Business
Medicine
Transport
Problem attributes
Nonlinearity
Uncertainty
Dimensionality
Structure
Marking criteria with maximal weights
Importance, e.g. useless, valuable (20%)
Content, e.g. derivative, original (20%)
Focus, e.g. superficial, detailed (20%)
Style, e.g. incoherent, readable (10%)
Organization, e.g. ambiguous, precise (10%)
Presentation, e.g. confusing, orderly (10%)
References, e.g. inadequate, complete (10%)
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use the “Adaptive Neuro Fuzzy Inference Systems for High Frequency Financial Trading and Forecasting” file as a template. so basically, this paper i want you to do exactly the same this but with different data. you should have a comparative validation having an additional input such as stock market index; so with a stock market index and without it. also an academic novelty of using a fuzzy network with a first time approach on a case study. you can use the case study in the “Intraday high-frequency FX trading with adaptive file neuro-fuzzy inference systems”. Be more specific
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