A novel algorithm for TOP-K optimal path on complex multiple attribute graph. (5th May 2020)
- Record Type:
- Journal Article
- Title:
- A novel algorithm for TOP-K optimal path on complex multiple attribute graph. (5th May 2020)
- Main Title:
- A novel algorithm for TOP-K optimal path on complex multiple attribute graph
- Authors:
- Zhang, Kehong
Li, Keqiu - Abstract:
- In the rapidly-changing information world, the various users and personalised requirements lead to an urgent need for complex multiple attribute decision-making. In addition, the TOP-K path of single attribute decision cannot meet the actual needs. The TOP-K mainly has non-repeatable vertex, repeatable vertex, index and other algorithms. But these techniques are mainly based on the single attribute. There are few documents introducing the complex multiple attribute decision-making problem so for. Therefore, a Tdp algorithm is presented in this paper. Firstly, it uses the technology of interval number and extreme value to solve the uncertain attribute value. Then, TOPSIS technique solves the complex multiple attribute decision-making problems. By this way, the comprehensive score is achieved. Secondly, the paper proposes blocking and bidirectional shortest path algorithm for TOP-K optimal path. Finally, comparison and analysis between Tdp and the Yen were made. Result confirms that Tdp algorithm improves the TOP-K optimal technology.
- Is Part Of:
- International journal of embedded systems. Volume 12:Number 4(2020)
- Journal:
- International journal of embedded systems
- Issue:
- Volume 12:Number 4(2020)
- Issue Display:
- Volume 12, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 12
- Issue:
- 4
- Issue Sort Value:
- 2020-0012-0004-0000
- Page Start:
- 510
- Page End:
- 521
- Publication Date:
- 2020-05-05
- Subjects:
- multiple attribute -- optimal path -- blocking -- bidirectional -- deviation vertex -- TOP-K -- decision-making -- network
Embedded computer systems -- Periodicals
004.16 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/browse/index.php?journalCODE=ijes ↗ - Languages:
- English
- ISSNs:
- 1741-1068
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12960.xml