Table of Contents
Advances in Decision Sciences
Volume 2016, Article ID 8963214, 9 pages
Research Article

A Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison

Department of Management of Technology for Defense, Korea University, Seoul 136-713, Republic of Korea

Received 4 September 2015; Accepted 6 April 2016

Academic Editor: Panos Pardalos

Copyright © 2016 Bangweon Song and Seokjoong Kang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

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  • Djavan De Clercq, Kate Smith, Andrew Gonzalez, Rinitha Kothapalle, Charles Li, Shuming Liu, Brandon Chou, Xin Dong, and Zongguo Wen, “Identification of urban drinking water supply patterns across 627 cities in China based on supervised and unsupervised statistical learning,” Journal of Environmental Management, vol. 223, pp. 658–667, 2018. View at Publisher · View at Google Scholar
  • Robert E Burks, Leo Raabe, William P Fox, and Bradley Greaver, “CARVER 2.0: integrating the Analytical Hierarchy Process’s multi-attribute decision-making weighting scheme for a center of gravity vulnerability analysis for US Special Operations Forces,” Journal of Defense Modeling and Simulation, vol. 15, no. 1, pp. 111–120, 2018. View at Publisher · View at Google Scholar
  • Iryna Chychkalo-Kondratska, Viktoriia Dobryanska, and Volodymyr Miroshnichenko, “Marketing planning in housing construction,” International Journal of Engineering and Technology(UAE), vol. 7, no. 3, pp. 86–91, 2018. View at Publisher · View at Google Scholar
  • Miguel Á. García-Fuentes, Sonia Álvarez, Víctor Serna, Maxime Pousse, and Alberto Meiss, “Integration of Prioritisation Criteria in the Design of Energy Efficient Retrofitting Projects at District Scale: A Case Study,” Sustainability, vol. 11, no. 14, pp. 3861, 2019. View at Publisher · View at Google Scholar
  • García-Fuentes, Serna, Hernández, and Meiss, “An Evaluation Framework to Support Optimisation of Scenarios for Energy Efficient Retrofitting of Buildings at the District Level,” Applied Sciences, vol. 9, no. 12, pp. 2448, 2019. View at Publisher · View at Google Scholar