Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting
📄 Project Abstract
Fuzzy Time Series (FTS) plays a great role in fuzzification of data, which is based on certain membership functions. In this thesis, a 24 weeks load demand data from PHCN was used and fuzzified based on the Gaussian Membership Functions, after that all fuzzified data are defuzzified to get normal form. The results obtained using the GMF (Gaussian Membership Functions) is compared with that of the TMF (Triangular Membership Function), from which the comparison basis was based on, qualitative performance indicator and statistical error. The RMSE Values obtained using the GMF and the TMF are 66.5 and 17.1 respectively, while their correlation factor R is 0.98 for TMF and 0.86 for GMF. From the analysis carried out the TMF generated the least RMSE and hence, is more suitable in forecasting for electric load.
🔍 Key Research Areas Covered
- ✅ Literature Review & Theoretical Framework
- ✅ Research Methodology & Data Collection
- ✅ Data Analysis & Statistical Methods
- ✅ Findings & Results Discussion
- ✅ Recommendations & Conclusions
- ✅ References & Bibliography
📚 Complete Project Structure
- Problem Statement & Objectives
- Theoretical Framework & Related Studies
- Data Collection & Analysis Methods
- Findings & Statistical Analysis
- Recommendations & Future Research
- Questionnaires, Data, References
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Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting
Full Citation:
Zubair Nana Hauwa. (). Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting. African and General Studies, 40, 14858.
Citation Formats:
APA
Zubair Nana Hauwa. (). Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting. African and General Studies, 40, 14858.
MLA
Zubair Nana Hauwa. "Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting." African and General Studies, vol. 40, , pp. 14858.
Chicago
Zubair Nana Hauwa. "Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting." African and General Studies 40 (): 14858.
Full Citation:
Zubair Nana Hauwa. (). Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting. African and General Studies, 40, 14858.
Citation Formats:
APA
Zubair Nana Hauwa. (). Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting. African and General Studies, 40, 14858.
MLA
Zubair Nana Hauwa. "Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting." African and General Studies, vol. 40, , pp. 14858.
Chicago
Zubair Nana Hauwa. "Effect Of Triangular And Gaussian Membership Functions In Fuzzy Time Series Forecasting." African and General Studies 40 (): 14858.
Document Details
| Author | Zubair Nana Hauwa |
|---|---|
| 📁 Field | Electrical And Computer Engineering Project Topics |
| 🏷️ Type | Engineering and Technology project topics |
| Pages | 58 Pages |
| Words | 8907 words |
| 📘 Chapters | 1 to 5 Chapters |