Attribute Selection Method based on Objective Data and Subjective Preferences in MCDM
AbstractDecision attributes are important parameters when choosing an alternative in a multiple criteria decision-making (MCDM) problem. In order to select the optimal set of decision attributes, an analysis framework is proposed to illustrate the attribute selection problem. Then a two-step attribute selection procedure is presented based on the framework: In the first step, attributes are filtered by using correlation algorithm. In the second step, a multi-objective optimization model is constructed to screen attributes from the results of the first step. Finally, a case study is given to illustrate and verify this method. The advantage of this method is that both external attribute data and subjective decision preferences are utilized in a sequential procedure. It enhances the reliability of decision attributes and matches the actual decision-making scenarios better.
 Bermejo, P., Gamez, J. A., Puerta, J. M. (2014). Speeding up incremental wrapper feature subset selection with Naive Bayes classifier. Knowledge-Based Systems, 55, 140-147, 2014.
 Chen, Y., Kilgour, D. M., Hipel, K. W. (2008). Screening in multiple criteria decision analysis. Decision Support Systems, 45(2), 278-290, 2008.
 Chun, Y. H. (2015). Multi-attribute sequential decision problem with optimizing and satisficing attributes. European Journal of Operational Research, 243(1), 224-232, 2015.
 Comes, T., Hiete, M., Wijngaards, N., Schultmann, F. (2011). Decision maps: A framework for multi-criteria decision support under severe uncertainty. Decision Support Systems, 52(1), 108-118, 2011.
 Dai, J., Wang, W., Tian, H., Liu, L. (2013). Attribute selection based on a new conditional entropy for incomplete decision systems. Knowledge-Based Systems, 39, 207-213, 2013.
 Hapfelmeier, A., Ulm, K. (2014). Variable selection by Random Forests using data with missing values, Computational Statistics & Data Analysis, 80, 129-139, 2014.
 Huda, S., Abdollahian, M., Mammadov, M., Yearwood, J., Ahmed, S., Sultan, I. (2014): A hybrid wrapper-filter approach to detect the source (s) of out-of-control signals in multivariate manufacturing process, European Journal of Operational Research, 237(3), 857-870, 2014.
 Lin, Q., Li, J., Du, Z., Chen, J., Ming, Z. (2015). A novel multi-objective particle swarm optimization with multiple search strategies, European Journal of Operational Research, 247(3), 732-744, 2015.
 Ma XF, Zhong QY, Qu Y (2013) Determination method of emergency key property based on common knowledge model and Euclidean distance, Systems Engineering, 31(10), 93-97, 2013.
 Meinshausen, N., Buhlmann, P. (2010): Stability selection. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(4), 417-473, 2010.
 Meng MH, Pei XJ,Wu MQ (2015): Study on choice of factors influencing stability of perilous rock based on fuzzy multi-attribute group decision-making. Subgrade Engineering, 1:20-23, 2015.
 Montajabiha, M. (2016): An Extended PROMETHE II Multi-Criteria Group Decision Making Technique Based on Intuitionistic Fuzzy Logic for Sustainable Energy Planning. Group Decision and Negotiation, 25(2), 221-244, 2016.
 Robin, G., Jean-Michel P., Christine T. (2010): Variable selection using random forests, Pattern Recognition Letters, 31, 2225-2236, 2010.
 Shen HP, Zhang YP, Wang YK (2014): Research on regular Chinese fragments reassembly based on 0-1 programming model, Electronic Science and Technology, 6:13-16, 2014.
 Stewart, T. J. (1992): A critical survey on the status of multiple criteria decision making theory and practice, Omega, 20(5-6), 569-586, 1992.
 Wahlqvist, J., Van Hees, P. (2013): Validation of FDS for large-scale well-confined mechanically ventilated fire scenarios with emphasis on predicting ventilation system behavior, Fire Safety Journal, 62, 102-114, 2013.
 Wu, K. J., Tseng, M. L., Chiu, A. S., Lim, M. K. (2016): Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure, International Journal of Production Economics, article in press, 2016.
 Wu, K. J., Liao, C. J., Tseng, M. L., Lim, M. K., Hu, J., Tan, K. (2017): Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties, Journal of Cleaner Production, 142, 663-676, 2017.
 Zeleny, M., Cochrane, J. L. (1973): Multiple criteria decision making, University of South Carolina Press, 1973.
 Zhang, Y., Gong, D., Cheng, J. (2017): Multi-Objective Particle Swarm Optimization Approach for Cost-based Feature Selection in Classification, IEEe/ACM Transactions on Computational Biology and Bioinformatics, 14, 64-75, 2017.
 Zhu, J., Zhang, S., Chen, Y., Zhang, L. (2016): A hierarchical clustering approach based on three- dimensional gray relational analysis for clustering a large group of decision makers with double information, Group Decision and Negotiation, 25(2), 325-354, 2016.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.