北京理工大学学报:社会科学版
北京理工大學學報:社會科學版
북경리공대학학보:사회과학판
Journal of Beijing Institute of Technology(Social Sciences Edition)
2013年
3期
67~73
,共null页
知识管理 信息融合 模糊集理论 Petri网 失败预警
知識管理 信息融閤 模糊集理論 Petri網 失敗預警
지식관리 신식융합 모호집이론 Petri망 실패예경
knowledge management; information fusion; fuzz set theory; petri nets; early warning of failure
在知识管理领域中,根据知识源的特点,通过融合处理多源知识,形成新的知识层,提高知识的内涵、层次和置信度,并提升实现系统任务目标的能力。在基本知识层、方法层和思想层三级融合层次的基础上,研究多源知识融合处理。得出融合结构与框架。将信息融合处理技术移植到知识融合处理中,形成基于模糊集理论的知识融合算法,得出处理流程和基于Petri网的融合模型。利用基于模糊集理论的知识融合算法,综合各预警模型的观察结果,讨论企业失败预警问题。实例和仿真结果表明:知识融合判别方法降低了企业失败预警判别的不确定性,知识融合在知识管理领域应用是有效和可行的。.
在知識管理領域中,根據知識源的特點,通過融閤處理多源知識,形成新的知識層,提高知識的內涵、層次和置信度,併提升實現繫統任務目標的能力。在基本知識層、方法層和思想層三級融閤層次的基礎上,研究多源知識融閤處理。得齣融閤結構與框架。將信息融閤處理技術移植到知識融閤處理中,形成基于模糊集理論的知識融閤算法,得齣處理流程和基于Petri網的融閤模型。利用基于模糊集理論的知識融閤算法,綜閤各預警模型的觀察結果,討論企業失敗預警問題。實例和倣真結果錶明:知識融閤判彆方法降低瞭企業失敗預警判彆的不確定性,知識融閤在知識管理領域應用是有效和可行的。.
재지식관리영역중,근거지식원적특점,통과융합처리다원지식,형성신적지식층,제고지식적내함、층차화치신도,병제승실현계통임무목표적능력。재기본지식층、방법층화사상층삼급융합층차적기출상,연구다원지식융합처리。득출융합결구여광가。장신식융합처리기술이식도지식융합처리중,형성기우모호집이론적지식융합산법,득출처리류정화기우Petri망적융합모형。이용기우모호집이론적지식융합산법,종합각예경모형적관찰결과,토론기업실패예경문제。실례화방진결과표명:지식융합판별방법강저료기업실패예경판별적불학정성,지식융합재지식관리영역응용시유효화가행적。.
In the field of knowledge management,new knowledge level can be formed via multiple source knowledge fusion according to the characteristics of knowledge source,while the connotation,level and confidence of knowledge,as well as the ability to fulfill the system mission can be enhanced.The structure and framework of knowledge fusion is obtained from research on multiple source knowledge fusion at the foundation of the three fusion levels of basic knowledge level,method level and thought level.By introducing information fusion processing into knowledge fusion,a knowledge fusion algorithm based on fuzzy sets theory is formed.Besides,the processing flow and a fusion model based on Petri net are advanced.By utilizing the knowledge fusion algorithm based on fuzzy sets theory,the corporate failure prediction problem is discussed by synthesizing the observation results of different prediction models.It is proved by real examples and simulation results that the uncertainty of corporate failure prediction is reduced by knowledge fusion determination methods and the application of knowledge fusion in the field of knowledge management is effective and feasible.