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並列摘要


This paper uses the well-established Fuzzy C-Means Clustering Algorithm for suggesting a heuristic that effectively zeroes down upon a set of viable locations out of several alternatives. Besides the list of desirable location candidates, the methodology also provides a list of totally inappropriate alternatives that must be weeded out from the process of selection. The paper also proposes a self-devised scoring mechanism that is used to rank the short-listed locations. The proposed methodology is validated on three problems, and an example is presented.

被引用紀錄


Nataliani, Y. (2018). 譜聚類及其在單元組成上的應用 [doctoral dissertation, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu201800002
何宜璇(2013)。臺灣南部海域藍綠光鰓雀鯛(Chromis viridis)生殖時的能量分配〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2013.00061
Huang, H. C. (2012). 應用多核學習理論於資料分群 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2012.10467
謝坤霖(2012)。住院病人電腦斷層攝影含碘顯影劑腎臟傷害危險因子分析〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.03156
田昊平(2014)。電子業封閉式供應鏈回收選擇模型 考量新品、再製品之研究〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201511593495

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