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https://doi.org/10.17559/TV-20190615044223

Index System Reduction Method Based on the Index Similarity

Ai Wang ; University of Science and Technology Beijing, No. 30 Xueyuan Road, Haidian District, Beijing, China
Xuedong Gao ; University of Science and Technology Beijing, No. 30 Xueyuan Road, Haidian District, Beijing, China

Puni tekst: engleski, pdf (1 MB) str. 1112-1118 preuzimanja: 265* citiraj
APA 6th Edition
Wang, A. i Gao, X. (2019). Index System Reduction Method Based on the Index Similarity. Tehnički vjesnik, 26 (4), 1112-1118. https://doi.org/10.17559/TV-20190615044223
MLA 8th Edition
Wang, Ai i Xuedong Gao. "Index System Reduction Method Based on the Index Similarity." Tehnički vjesnik, vol. 26, br. 4, 2019, str. 1112-1118. https://doi.org/10.17559/TV-20190615044223. Citirano 08.03.2021.
Chicago 17th Edition
Wang, Ai i Xuedong Gao. "Index System Reduction Method Based on the Index Similarity." Tehnički vjesnik 26, br. 4 (2019): 1112-1118. https://doi.org/10.17559/TV-20190615044223
Harvard
Wang, A., i Gao, X. (2019). 'Index System Reduction Method Based on the Index Similarity', Tehnički vjesnik, 26(4), str. 1112-1118. https://doi.org/10.17559/TV-20190615044223
Vancouver
Wang A, Gao X. Index System Reduction Method Based on the Index Similarity. Tehnički vjesnik [Internet]. 2019 [pristupljeno 08.03.2021.];26(4):1112-1118. https://doi.org/10.17559/TV-20190615044223
IEEE
A. Wang i X. Gao, "Index System Reduction Method Based on the Index Similarity", Tehnički vjesnik, vol.26, br. 4, str. 1112-1118, 2019. [Online]. https://doi.org/10.17559/TV-20190615044223

Sažetak
Multi-attribute decision making (MADM) always suffers from the result inconsistency and computational complexity problem, due to numbers of redundant and relational attributes (indexes) of the initial evaluation index system. Therefore, this paper studies the index system (IS) reduction problem through selecting the most representative indicator from each index subsystem after the IS structure partition. First, we propose and demonstrate the Index Subsystem Judgement theorem to improve the efficiency of the classic system structure partition algorithm. Second, an algorithm of index system reduction based on the index similarity (ISRS) is put forward. The ISRS is able to reduce the index quantity while still keeping the index meaning. Third, we define the direction loss rate to measure the evaluation ability loss of the IS during reduction. The algorithm is tested for a synthetic dataset to compare the proposed ISRS with different index reduction algorithms, followed by an extensive experimentation with a real-world financial dataset. Experiment results illustrate that our proposed method is able to obtain more accessible and available reduction results in practice.

Ključne riječi
direction loss rate; Index Subsystem Judgment theorem; index system reduction; index similarity

Hrčak ID: 223312

URI
https://hrcak.srce.hr/223312

Posjeta: 431 *