A Multi-level Evaluation Approach to Chemical Processes Based on Fuzzy Reasoning
スポンサーリンク
概要
- 論文の詳細を見る
Evaluating a chemical process commonly has several criteria consisting of not only the economic aspects but also social and technical ones; hence multi-dimensional evaluation becomes an important problem. Usually the different criteria, each has a distinct scale, which can hardly be unified to single one. Moreover, the frequently emerging unquantifiable parameters will make the problem more complex. Fuzzy mathematic methods have been put into use to deal with such difficulties. In order to overcome the shortcoming lying in current methods, based on the fuzzy reasoning, a multi-level evaluation approach using if-then rules is proposed in this paper. It decomposes a multi-dimensional evaluation problem to several problems belonging to different levels with fewer dimensions. The appropriate steps to establish the rule sets in different levels are provided, and a Mass Exchange Networks and a wastewater treatment plant are evaluated by using the proposed method. Satisfactory and reliable results in case studies prove the effectiveness and the efficiency of this method.
- 社団法人 化学工学会の論文
著者
-
Chen Chong
Department Of Chemical Engineering Tsinghua University
-
SHEN Jingzhu
Department of Chemical Engineering, Tsinghua University
-
LI Yourun
Department of Chemical Engineering, Tsinghua University
-
HU Shanying
Department of Chemical Engineering, Tsinghua University
-
Hu Shanying
Department Of Chemical Engineering Tsinghua University
-
Shen Jingzhu
Department Of Chemical Engineering Tsinghua University
-
Li Yourun
Department Of Chemical Engineering Tsinghua University
関連論文
- A Multi-level Evaluation Approach to Chemical Processes Based on Fuzzy Reasoning
- Irradiation induces homing of donor endothelial progenitor cells in allogeneic hematopoietic stem cell transplantation
- Adrenaline administration promotes the efficiency of granulocyte colony stimulating factor-mediated hematopoietic stem and progenitor cell mobilization in mice