基於模糊多屬性決策分析之線上可調式個人決策支援系統

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Title:	基於模糊多屬性決策分析之線上可調式個人決策支援系統
Other Titles:	A web-based adjustable personal decision support system based on fuzzy multiple attribute decision making
Authors:	康書萍 Kang, Su-ping
Contributors:	資訊管理學研究所邱宏彬 Hung-pin Chiu
Keywords:	模糊理論;分析層級程序法;決策支援系統 Analytic Hierarchy Process;Fuzzy theory;Decision support system
Date:	2005
Issue Date:	2019-03-20 16:36:40 (UTC+8)
Abstract:	個人每天都面對著許多待解決的問題，大多數的決策問題都具有多屬性的特性，在評估時，不同的目標及屬性應做完整的考慮。透過有系統的層級架構能讓決策者快速有效地作出最佳決策，以節省更多時間和人力。分析層級程序法（Analytic Hierarchy Process，簡稱AHP）是最常用來協助決策者找出最佳策略方案之工具。　　　在處理多屬性決策問題時，有些問題答案經常具有模糊及不明確性，傳統非常精確的計量方法已無法完全解決具模糊性的問題，因此，本研究將模糊理論概念融入層級程序分析法中讓決策者選擇他們認為合適的語意來表達個人對其評估準則之指標，以產生最符合決策者需求的決策資訊。再者，傳統AHP方式須靠人工作業與套裝軟體配合以得到決策結果，這種方式具有時間上的限制。本研究將利用資訊科技優勢結合AHP和模糊理論之優點提出一個系統模式，確實能達到改善傳統層級程序分析法半自動化模式之做法及建立可調整式的個人決策系統之目的。　　Every day a person has to face many questions unsloved, and most of the decision questions have the multi-attribute character. While they are estimated, different goals and attributes should be considered completely. With the systematic heirarchy structure, a decision maker can draw up the best of decision quickly and efficiently, which then can save more time and human resources. Analytic Hierarchy Process is the most common tool used to assist decision makers to find the best strategy.　　　Besides, while people deal with multi-attribute decision questions, some of the answers to the questions usually are fuzzy and undefined. Traditional accurate measurement methods weren’t unable to solve fuzzy problems completely. Therefore, fuzzy theory concept blends with AHP can let decision makers choose appropriate meanings to express their personal feeling for the index of estimable criteria. Traditional AHP method must depend on human work and packet software collocation that has gained making-decision result but this way restricts to time. This paper provide most suitable decision-making information technology integrated with the advantage of AHP and fuzzy theory and bring up a system module. It can really achieve the goal of improving the traditional method of AHP and establish a adjustable personal decision support system.
Appears in Collections:	[Department of Information Management] Disserations and Theses

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