Name
Title | ||
|---|---|---|
Improving Goal-Driven Simulation Performance Using Fuzzy Membership Correlation Analysis |
Abstract | ||
|---|---|---|
This paper proposes a method to improve achieving desired business-goals by finding the appropriate input configuration for a Goal-Driven Simulation (GDS) approach based on an interval type-2 Fuzzy Logic System that allows evaluating solutions before implementing them in real-world scenarios. Therefore, we employ fuzzy membership correlation analysis for improving goal-driven simulation performance in field scheduling processes within the field service industry. The proposed methodology reported improved results in comparison with its counterpart type-1 FLS and type-2 FLS without the mentioned fuzzy membership correlation analysis, respectively. This work can assist service providers in focusing on the input parameters that are highly related to the achievement of the desired business targets. Which, in turn might contribute to companies’ market presence, profitability and customer satisfaction by delivering the right service at the right time, while providing sensible accuracy and concise interpretability. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CEEC.2018.8674239 | 2018 10th Computer Science and Electronic Engineering (CEEC) |
Keywords | Field | DocType |
Fuzzy sets,Correlation,Fuzzy logic,Computational modeling,Analytical models,Job shop scheduling,Companies | Interpretability,Customer satisfaction,Job shop scheduling,Industrial engineering,Scheduling (computing),Computer science,Fuzzy logic,Service provider,Fuzzy set,Profitability index | Conference |
ISSN | ISBN | Citations |
2472-1530 | 978-1-5386-7275-4 | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuel Ferreyra | 1 | 1 | 1.04 |
| Hani Hagras | 2 | 1747 | 129.26 |
| Mathias Kern | 3 | 8 | 3.58 |
| Gilbert Owusu | 4 | 102 | 22.66 |