FML-based Inference System and Its Applications

碩士 === 國立臺南大學 === 科技管理研究所碩士班 === 99 === Knowledge Management (KM) has gradually become one of the most important factors in the current organizations. If the internal and external knowledge of the organizations can be systematically managed, it will enhance the whole organizations’ information secur...

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Bibliographic Details
Main Authors: Yi-Ling Kuo, 郭怡鈴
Other Authors: none
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/61442999209528956753
Description
Summary:碩士 === 國立臺南大學 === 科技管理研究所碩士班 === 99 === Knowledge Management (KM) has gradually become one of the most important factors in the current organizations. If the internal and external knowledge of the organizations can be systematically managed, it will enhance the whole organizations’ information security to increase the organizations’ work efficiency and employees’ work performance. Currently, many organizations have efficiently managed their internal and external knowledge. However, owing to the differences in properties among the organizations, the management of the knowledge still encounters some uncertainly factors. Therefore, this thesis proposes a Fuzzy Markup Language (FML)-based inference system and applies it to two domain areas, including the Information Security Management System (ISMS) and the Spiral Capability Enhancement Support System (SPICE System). For the first study case, the ISMS ontology is first constructed according to the ISMS-introduction standard processes, defined by the Engineering Process Group (EPG) of computer center of National University of Tainan (NUTN). The domain experts then define the knowledge base and rule base of the information security by following the standards of the FML. The risk of introducing the information security is finally inferred based on the built ontology, knowledge base, and rule base. Additionally, this thesis also follows the process areas of the Capability Maturity Model Integration (CMMI) Levels 1 and 2 to define the specific practices to carry out the process-oriented Knowledge Management of the ISMS. For the second case study, the SPICE system was developed by Tsuji Lab. of Osaka Prefecture University (OPU), Japan. This thesis first introduces the concepts of the CMMI and the technologies of the fuzzy inference mechanism to the SPICE system, and then infers the ability maturity level of the human education based on the collected ability indexes of the human education. It is hoped that the performance of the thesis will make as a reference case for other administrative units to introduce the ISMS and SPICE System in the future.