電信機房為通信設備工作環境中重要的基礎建設，而電力為通信設備的動力來源；通信設備須有充裕而穩定可靠的電源，才能確保通信設備正常運作。隨著世界電信事業自由化、國際化及民營化浪潮的推動，通信設備技術日益進步，電信機房提供不同以往之加值服務，需求更趨多元化，對通信品質的要求更為嚴格。為滿足各種設備之要求及提升電信機房之電力品質，必須將有限的資源作最佳運用，才能提升對新技術發展的應變能力，進而創造最大利潤與競爭力。

　　本研究目的建構出一決策支援系統，以支援電信通信機房電力維運策略之制定。第一部份採用模糊修正式德爾菲法萃取專家內隱知識，用以評估並決定電信機房電力之準則與權重；第二部分，由專家評定各評估準則之重要性與各機房適合度，進而系統化地整合電信領域專家的意見於決策模型的建構上，本研究並以國內某大電信公司電力機房維運作為實例驗證對象，並結合知識發現法探勘分類知識法則，探討同類機房內部相似特性與不同類機房間的差異性，以輔助決策者訂定各類機房不同的電源設置與備援標準之管理維運模式。

　　The telecommunication office is the most important infrastructure of communication equipments, and power is the heart of telecom facilities. To be operated normally, the communication equipments need stable and consistent power supply. Following the wave of global liberalization, internationalization and privatization on telecommunication industry, the rapid development of the telecom facilities technology is increasing. The telecom office supporting value-added service that is different from the past and demand tends to be more diversified and stringent on the communications quality. To meet the requirements of various equipments and upgrade power quality, we must make the best use of limited resources. Only by doing so can we increase our impact on new technologies, and then create the biggest profit.

　　In this study, we propose a decision support system to support power maintenance strategies for telecommunication office. First, the fuzzy modified Delphi method is used to extract implicit knowledge of experts and assess criteria for deciding weightings. Then, according to the criteria and suitability for telecom office assessment, the assessments of telecommunications experts are aggregated to build up the decision model in the proposed system. This study uses a major player in Taiwan Telecommunication as the case study and incorporates the knowledge discovery approach to uncover the classification knowledge rules which could assist management in developing effective management strategies. We also implement and explore if it will enhance readability and simplify the decision-making task for the differences between management modes and types of power system in each telecom site.

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