Name
Abstract | ||
|---|---|---|
Real-time performance assessment is one of the main methods to guarantee the steady operation of production during the combustion process of a coke oven. In this study, a real-time assessment method is proposed for this combustion process based on the analytic hierarchy process (AHP) and intuitionistic multiplicative preference relation. Relevant scholars, senior engineers, and elite workers participated in this project to build the AHP model with three aspects (i.e. safety, stability, and economic benefit) and perform pairwise comparisons of criteria and sub-criteria through group decisions. To support real-time, the pairwise comparisons of alternatives were realized by an automated method using measurement values. This comprehensive assessment method demonstrates ability to provide real-time performance evaluation for the combustion process. An experiment was conducted to evaluate the effectiveness and viability of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.20965/jaciii.2019.p0791 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
coke oven,multi-criteria decision making,real-time performance evaluation,intuitionistic multiplicative analytic hierarchy process,quality function | Process engineering,Combustion process,Computer science,Coke,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
23 | 4 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||