演化趨勢是TRIZ中一個很有力的工具，其用途是在解決問題。目前已有兩個常運用的演化趨勢-GEN3演化趨勢和Darrell Mann提出的演化趨勢。本研究主要是整合兩大演化趨勢 - GEN3演化趨勢和Darrell Mann演化趨勢，整合成一個相關工程系統的技術演化趨勢。並建立每個演化趨勢中演化階段相關的功能屬性。最後，建立一個數學問題解決工具，根據問題的特點和趨勢的特點之間的相似性，以確定相關模型的解決方案以及相關的演化趨勢解答。建立以Excel-based為基礎的演化趨勢辨識軟體，並透過整合後演化趨勢的功能屬性，辨識問題符合哪些相關演化趨勢，以更迅速和客觀地方式解決問題，而不需要依靠專家的經驗和知識。

本研究的貢獻包括：1）整合GEN3演化趨勢和Darrell Mann演化趨勢成一個完整的演化趨勢理論，並定義每個演化趨勢的演化階段的功能屬性，以方便解決問題;2）構建一套新的演化趨勢的關係架構圖，清楚說明每個演化趨勢之間的關係; 3）構建一個數學模型，可以自動識別相關的演化趨勢，快速解決問題，減少依賴專家的知識和主觀的判斷。

Evolutionary Trends is a set of powerful TRIZ (Theory of Inventive Problem Solving) tool for problem solving and other usage. There have been two popular sets of trends by GEN3 Partners and Darrell Mann separately without cohesion. This research integrates the two major evolutionary trends - GENS enhanced classical Trends of Technical Systems Evolution and the Darrell Mann's technical trends into a cohesive integrated set of Trends of Engineering Systems Evolution. Relevant attributes and functional advantages of each stage of the trends are identified. A mathematical problem-solving tool based on similarities between the problem characteristics and the trends characteristics is established to identify relevant trends for probable solution directions as models of the solutions. By encoding the 'knowledge' embedded in the integrated trends, a piece of excel-based software is written to identify the relevant trends for problem solving quickly and objectively without needing to rely on expert experience and knowledge.

The contributions of this research include: 1) Integrating the prevailing GEN3 classical TRIZ trends and Darrell Mann's trends into a complete set of evolutionary trends with the relevant attributes and functions of each stage identified conducive to using trends for problem solving; 2) Constructing the structural diagram for the new set of evolution trends for better understanding of the relationships among the trends; 3) Constructing a mathematical model that can automatically and quickly identify the relevant trends for problem solving reducing the reliance on experts knowledge and subjective judgment.

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