Title | ||
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A methodology for supporting long-term nuclear energy development decisions-a case of Taiwan |
Abstract | ||
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A methodology to support long-term nuclear energy development decisions in Taiwan is proposed. Based on the framework of a decision-support system, the study focuses on the development of a multiobjective decision submodel in the model base subsystem. Due to the complexity and dependency of the variables, the decision model is in the quartic form. The study shows that the proposed method can be used to linearize the model. To facilitate effective decision-making, a compromise programming technique is adopted to integrate the multiple objectives. Concerning the uncertainty and instability of long-term planning, a sensitivity analysis of the proposed model is presented with proofs. The study shows that the proposed model can support the decisions imbedded in long-term planning, and the design of the system is easily modified and user-friendly. However, the efficiency is restricted by the adoption of the LINDO software package to obtain a global optimum |
Year | DOI | Venue |
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1993 | 10.1109/21.214784 | IEEE Transactions on Systems, Man and Cybernetics |
Keywords | Field | DocType |
programming technique,nuclear power,long-term nuclear energy development decisions,software packages,long-term planning,taiwan,multiobjective decision submodel,decision support systems,nuclear engineering computing,lindo software package,decision-support system,global optimum,sensitivity analysis,heuristic algorithm,decision models,decision support system,mathematical model,nuclear energy,decision maker | Mathematical optimization,Computer science,Energy development,Decision support system,Energy policy,Operations research,Mathematical proof,Software,Decision model,Nuclear power plant,Nuclear power | Journal |
Volume | Issue | ISSN |
23 | 1 | 0018-9472 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsiao-Fan Wang | 1 | 278 | 27.24 |
Hsueh-Ling Liao | 2 | 8 | 1.23 |