DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL
📄 Project Abstract
The research is aimed at the development of a multivariable based high-order fuzzy time series (FTS) forecast model that will be applied for forecasting handover success rate (mobility management) in the Lagos zone of Airtel Nigeria as a case study. Multivariable FTS is based on classifying data as primary (major) and secondary (minor) as against the conventional univariate approach adopted by most FTS approaches. In order to optimize the determination of an objective interval length, the kth fuzzy data clustering algorithm is adopted. In this work, 52 weeks data were collected from Airtel Lagos zone namely; handover success rate (HOSR), stand alone dedicated control channel (SDCCH), received signal strength (RSS), path loss (PLOSS) and bit error rate (BER). HOSR is termed the major data since it is the primary variable of interest whilst the rest are termed minor since they are secondary variables. 40 weeks of data are used as training data whilst 12 weeks are used as validation data....
🔍 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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DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL
Full Citation:
SANI MAN-YAHAYA. (). DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL. African and General Studies, 40, 14858.
Citation Formats:
APA
SANI MAN-YAHAYA. (). DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL. African and General Studies, 40, 14858.
MLA
SANI MAN-YAHAYA. "DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL." African and General Studies, vol. 40, , pp. 14858.
Chicago
SANI MAN-YAHAYA. "DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL." African and General Studies 40 (): 14858.
Full Citation:
SANI MAN-YAHAYA. (). DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL. African and General Studies, 40, 14858.
Citation Formats:
APA
SANI MAN-YAHAYA. (). DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL. African and General Studies, 40, 14858.
MLA
SANI MAN-YAHAYA. "DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL." African and General Studies, vol. 40, , pp. 14858.
Chicago
SANI MAN-YAHAYA. "DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL." African and General Studies 40 (): 14858.
Document Details
| Author | SANI MAN-YAHAYA |
|---|---|
| 📁 Field | Electrical And Computer Engineering Project Topics |
| 🏷️ Type | Engineering Project Topics |
| Pages | 175 Pages |
| Words | 43297 words |
| 📘 Chapters | 1 to 5 Chapters |