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城市發(fā)展決策網(wǎng)絡(luò)的理論基礎(chǔ)(英文)

發(fā)布時(shí)間:2018-03-14 02:00

  本文選題:決策 切入點(diǎn):關(guān)聯(lián)的決策 出處:《Frontiers of Information Technology & Electronic Engineering》2017年08期  論文類型:期刊論文


【摘要】:規(guī)劃問題具有挑戰(zhàn)性和復(fù)雜性,因?yàn)樗鼈兺ǔI婕岸嘀貙傩云煤投鄠(gè)利益相關(guān)者。因此,很少有規(guī)劃工具能幫助規(guī)劃者解決這些問題。傳統(tǒng)決策分析在處理規(guī)劃問題時(shí)無法達(dá)到預(yù)期,因?yàn)樗饕獋?cè)重于為特定決策者制定單一決策。本文介紹了一個(gè)名為"決策網(wǎng)絡(luò)"的規(guī)劃工具的理論基礎(chǔ),其目的是幫助規(guī)劃者在面對(duì)具有多屬性偏好的多個(gè)利益相關(guān)者時(shí),作出多重且相互關(guān)聯(lián)的決定。本研究提供了一個(gè)成熟科學(xué)技術(shù)的起點(diǎn),將有助于處理復(fù)雜的規(guī)劃問題。我們首先提出決策網(wǎng)絡(luò)模式所欲處理的規(guī)劃問題的一般化模式。然后我們針對(duì)這個(gè)規(guī)劃問題提出一個(gè)有效的解決演算法,再使用數(shù)值示例來演示該演算法是如何運(yùn)作。所提出的解決演算法被證明是有效的,亦使該規(guī)劃工具的計(jì)算機(jī)化成為可能。同時(shí),我們指明"決策網(wǎng)絡(luò)"的圖形表示較"決策樹"的圖形表示來得更為有效。因此,在處理具有挑戰(zhàn)性和復(fù)雜性的城市規(guī)劃問題時(shí),通過決策網(wǎng)絡(luò)模式所作出的多重的且相關(guān)的決策,將會(huì)比獨(dú)立地做出這些決策產(chǎn)生更多的好處。
[Abstract]:Planning issues are challenging and complex because they often involve multiple attribute preferences and multiple stakeholders. There are very few planning tools that can help planners solve these problems. Traditional decision analysis does not meet expectations when dealing with planning problems. Because it focuses on making a single decision for a particular decision maker, this paper introduces the theoretical basis of a planning tool called "decision network", which is designed to help planners face multiple stakeholders with multiple attributes of preference. Making multiple and interrelated decisions. This study provides a starting point for mature science and technology, It will help to deal with complex planning problems. We first propose a generalized model for planning problems to be dealt with by the decision making network model. Then we propose an effective algorithm for solving this planning problem. A numerical example is then used to demonstrate how the algorithm works. The proposed solution algorithm has proved to be effective and has made it possible to computerize the planning tool. We point out that the graphical representation of "decision networks" is more efficient than the graphical representation of "decision trees". Therefore, when dealing with challenging and complex urban planning issues, The multiple and related decisions made through the decision-making network model will have more benefits than making these decisions independently.
【作者單位】: College
【基金】:supported by “the Ministry of Science and Technology of Taiwan”(No.NSC101-2410-H305-066-MY2)
【分類號(hào)】:F290

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