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E96063
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整合群集分析與動態最佳化之鄉鎮永續社區經營決策研究
Integrating the Cluster Analysis and Fuzzy Analytic Network Process with Dynamic Programming Approach for Determining the Optimal Sustainable Community Management Decisions
1.吳桂陽
1.Kuei-yang Wu
1.國立聯合大學建築學系
1.Department of Architecture, National United University
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1.國立聯合大學建築學系
1.Department of Architecture, National United University
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1.行政院國家科學委員會
1.National Science Council
A.14 計畫執行期間(起):2007-08-01
A.14 計畫執行期間(訖):2010-07-31
2009-11-012009-12-31
A.16 收到日期:2010-10-29
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中部各縣市以永續理念經營之社區

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C.2 聯絡日期:2010-11-11
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1.國立聯合大學建築學系
1.Department of Architecture, National United University
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C.7 資料公開日期:2011-08-01
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1.最佳化經營策略
2.鄉鎮永續社區
3.集群分析
1.Cluster Analysis
2.Optimal Community Management
3.Rural Sustainable Community
 在台灣地區推動社區發展,目前在國家層級的計畫如”永續臺灣發展指標”,或是鄉鎮、城市所單獨推動的個別鄰里社區發展,實嚴重欠缺地方的管理策略,因而 造成零星分散與資源浪費。傳統上探討永續社區,使用靜態的統計方法如因素分析、模糊階層體系分析等,或僅由上而下的城鄉發展計畫,建立指標性的永續策略等 作法,常常忽略推動解決社區發展所需考量的「地方性」與隨時間變動調整的「時效性」之經營策略。

做決策時的資料與經營策略的不確定性,例如社區現有經濟收入的來源、生態環境品質、社會文化優勢、可用預算等使社區經營策略之決定增加複雜性。本研究 即針對上述課題,提出一套整合不確定性因素下,鄉鎮永續社區群集之動態最佳化經營決策模式建立的操作方法。研究中考慮集群(cluster)式的社區發展 策略,並隨專家、經營決策者、居民等意見的加入而能「適時更新」的動態決策工作,使永續社區在「經濟、環境、社會、居民識覺」的多目標間進行不斷的相互回 饋評估,進而得到最佳的網路體系階層的策略決定,以建構動態群集式鄉鎮永續社區最佳化經營決策模式。

Promoting community development in Taiwan lacks the local strategy management although we exist national level of sustainable Taiwan development indicators. Rural community development only fulfills in individual or dispersed way and makes the community development non-efficiency while we think it is towards sustainable community. Generally speaking, we often neglect local features and opinion responses in a dynamical and real-time from local managers and residents. Many researchers considered it in a static viewpoint and use statistical methods, for example, factor analysis, Fuzzy Analytic Hierarchy Process, or plan development of city and rural from top to down.

In community researches, such as incomes from local community, ecological environmental quality, advantage of social culture, available budget etc. are very uncertain, and make managing community more complicated. In this study, instead of sparse or single community study, we assort similar community features using cluster analysis, and adopt a strategy which consists of decisions on economical income, social facilities and environmental protection activities for an existing community over a long time horizon, in order to guarantee sustainability, maximizing the expected profit, referring to ecological objectives and the public’s acceptance of decisions. To tackle with these problems, several decision support systems and models were developed. Here, we present a dynamic and Analytic Network Process (referred as ANP) model for optimal clustered community management. The model determines the sequence of decisions that jointly maximizes economic, ecological and social objectives, respects prescribed constraints and imprecision. The model also takes the community system from its existing state to the managers’ goal state. The idea of fuzzy analytic hierarchy process integrated with cluster analysis is introduced within a discrete dynamic programming process to evaluate the conflicting objectives. A case study involving the Miaoli county is used to demonstrate the application of the proposed model.

D.16 完成檢誤日期:2011-01-13
D.17 預定釋出日期:2011-08-01
D.18 初次釋出日期:2011-08-01
D.19_1 最新版釋出日期:2011-08-01
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10.6141/TW-SRDA-E96063-1
http://efenci.srda.sinica.edu.tw/webview/index.jsp?object=http://efenci.srda.sinica.edu.tw:80/obj/fStudy/E96063
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