代理國外軟體

12月銷售軟體排行

1. MindManager 視覺化思考繪圖軟體
2. EViews 預測分析計量軟體
3. LISREL 線性結構分析軟體

4.

ATLAS.ti 定性量化分析軟體
5.

EndNote 參考書目軟體

6.

Stata 資料管理統計繪圖軟體

7. See5/C5.0  資料探勘軟體
8. HLM 階層分析軟體
9.

Expert Choice  AHP專家決策分析軟體

10. Grapher 3D科學繪圖軟體

 

 

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Super Decisions    決策分析軟體

Super Decisions用於決策的依賴和回饋。它實現了層次、層次分析法和解析網路過程中, ANP。兩者都使用相同的基本優先順序排序過程基於派生的優先事項上的元素,對判斷或正火直接測量獲得的優先事項。在層次分析法的決定因素被安排在分層決策結構從目標的選擇,選擇的標準而 ANP 決定元素進行分組在群集中,其中包含其他包含的備選方案的標準,或利益攸關者或其他決定元素。ANP 中沒有一個具體的目標元素、 而是一種相對的影響框架確定優先事項和備選方案的優先次序隱式地被理解為對任何網路是關於: 決定關注。簇排列成元素之間的連結的網路或有時多個層的元素,例如當一個問題分解成的好處、 機會、 成本和風險。包括層次分析法的大多數決策方法假定獨立性: 之間的標準和備選方案,或標準之一或備選方案之一。ANP 是不受限於這種假設。它允許對所有可能的和潛在的依賴項。

The Super Decisions software is used for decision-making with dependence and feedback. It implements the Analytic Hierarchy Process, AHP, and the Analytic Network Process, ANP. Both use the same fundamental prioritization process based on deriving priorities by making judgments on pairs of elements, or obtaining priorities by normalizing direct measurements. In the AHP the decision elements are arranged in a hierarchic decision structure from the goal to the criteria to the alternatives of choice, while in the ANP the decision elements are grouped in clusters, one of which contains the alternatives, which the others contain the criteria, or stakeholders or other decision elements. In the ANP there is not a specific goal element, rather the priorities are determined in a relative framework of influences and the prioritization of the alternatives is implicitly understood to be with respect to whatever the network is about: the decision concern. The clusters are arranged into a network with links among the elements, or sometimes into multiple tiers of elements such as when a problem is decomposed into Benefits, Opportunities, Costs and Risks. Most decision-making methods including the AHP assume independence: between the criteria and the alternatives, or among the criteria or among the alternatives. The ANP is not limited by such assumptions. It allows for all possible and potential dependencies.

The ANP does not limit human understanding and experience to force decision-making into a highly technical model that is unnatural and contrived. It is in essence a formalization of how people usually think, and it helps the decision-maker keep track of the process as the complexity of the problem and the diversity of its factors increase. The best testimony of the power and success of the ANP are those applications that have been done that derived priorities that corresponded with known answers in the real world or that have predicted outcomes. From that perspective it is a reliable and objective approach for making decisions based on priorities and importance with which one has had experience. It is rather different than making guesses about the probabilities of occurrence as some decision-making methods would have you do.

 

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