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題名 | 線性灰色關聯度=Linear Grey Relational Grade |
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作者 | 施能義; Shih, Neng Yih; |
期刊 | 中州學報 |
出版日期 | 20030600 |
卷期 | 17 2003.06[民92.06] |
頁次 | 頁325-334 |
分類號 | 400.24 |
語文 | chi |
關鍵詞 | 線性灰關聯度; 範數; 辨識係數; Grey relational coefficient; Grey relational grade; |
中文摘要 | 傳統的友關聯測度方法中,不同的辨識係數選擇而有不同的灰關聯係數分佈情形產生,為了避免這類情形的產生。本文則將系統的數列視為空間的點,直接在N維空間中研究系統因素間或因素與系統期望(參考)數列之間的關係,並依數列N維空間中的距離設計一個線性灰關聯度公式,直接避開辨識係數的選擇以得定量化之性質,且所提方法亦能滿足灰關聯測度的四項公理。並以一個實例來比較所提方法與傳統的(辨識係數ξ= 0.5)、定量化灰關聯分析等方法,說明本文所提能達到簡易有效的測度新方法。 |
英文摘要 | This paper will investigate grey relational grade. That modified grey relation analysis is proposed to avoid setting the distinguish factor in grey relational coefficient which without disadvantages of traditional grey relational grade. It is apply a linear method to processing sequence data with space norm. This method is named linear grey relational grade. According to axiom of grey relational grade is presented. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。