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Received:March 05, 2011 Revised:April 19, 2011
Received:March 05, 2011 Revised:April 19, 2011
中文摘要: 通过结合知识进化论与生物进化论思想,提出了知识进化算法,给出该算法的基本原理和实现途径,并创建了知识的评价函数。把该算法用于图书馆读者满意度评价实例中,可获得成功的试验结果。这表明知识进化算法可促进知识的量与质的提升,为正确决策提供有效的辅助手段。
Abstract:Trough combining evolutionary epistemology theory with biological evolution theory, this paper presents a knowledge evolution algorithm. The basic principle and realizing ways is also given. The evaluating function of the knowledge is created too. When the algorithm is used in the evaluation of the reader's satisfaction in a library, we can obtain successful experiment results. The experiment shows that the knowledge evolution algorithm can promote both the quantity and the quality of the knowledge, which is an effective assistant means to make a correct decision.
keywords: knowledge evolutionary epistemology inheriting operator innovation operator reader's satisfaction
文章编号： 中图分类号： 文献标志码：
基金项目:商丘师范学院青年科研基金(2010QN11)
| Author Name | Affiliation |
| WU Feng-Juan | Computer Science Department, Shangqiu Normal College, Shangqiu 476000, China |
| Author Name | Affiliation |
| WU Feng-Juan | Computer Science Department, Shangqiu Normal College, Shangqiu 476000, China |
引用文本：
吴凤娟.基于知识进化算法的读者满意度评价.计算机系统应用,2011,20(10):243-247
WU Feng-Juan.Evaluation of the Reader's Satisfaction Based on the Knowledge Evolution Algorithm.COMPUTER SYSTEMS APPLICATIONS,2011,20(10):243-247
吴凤娟.基于知识进化算法的读者满意度评价.计算机系统应用,2011,20(10):243-247
WU Feng-Juan.Evaluation of the Reader's Satisfaction Based on the Knowledge Evolution Algorithm.COMPUTER SYSTEMS APPLICATIONS,2011,20(10):243-247
