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Multiple Rules‑Based Decision Making for Solving Data-Centric Problems
Published in Gwo-Hshiung Tzeng, Kao-Yi Shen, New Concepts and Trends of Hybrid Multiple Criteria Decision Making, 2017
The original concept of MRDM was proposed in a series of studies by Greco et al. (1997, 1999, 2001, 2002b, 2005). It was developed by adopting the dominance-based rough set approach (DRSA) to induce rough dominance relations for supporting decision making. The essential concepts of classical rough set theory and DRSA are introduced in Chapter 1; in this chapter, the extended variable-consistency DRSA (VC-DRSA) (Błaszczyński et al. 2011, 2013) is described. In addition, three approaches in MRDM—namely, the reference point‑based, core attribute‑based, and hybrid bipolar approaches—are briefly discussed.
Risk assessment of worldwide refinery accidents using advanced classification methods
Published in Stein Haugen, Anne Barros, Coen van Gulijk, Trond Kongsvik, Jan Erik Vinnem, Safety and Reliability – Safe Societies in a Changing World, 2018
Peter Burgherr, Matteo Spada, Marco Cinelli, Jurek Blaszczynski, Roman Słowiński, Yvan Pannatier
For the current analysis refinery accident data from ENSAD for the period 1990–2016 were combined with selected refinery characteristics using data from the WWRS database and from Swiss Re. The results demonstrated that the application of the Dominance-based Rough Set Approach (DRSA) analysis to such a complex dataset is feasible and useful to gain detailed insights about the structure and to reveal hidden relationships between accident attributes and their outcome in terms of fatalities.
Multi-criteria Decision-Making Techniques to Address Sustainable Procurement in Supply Chain Operations
Published in Sachin K. Mangla, Sunil Luthra, Suresh Kumar Jakhar, Anil Kumar, Nripendra P. Rana, Sustainable Procurement in Supply Chain Operations, 2019
There are other non-classical MCDM approaches like the decision rule (DR) approach. The mathematical foundation of the DR approach to MCDM is the Dominance-based rough set approach (DRSA) established by Greco et al. (2001, 2002). Contrary to the MAUT or MAVT and the outranking approach models that require specific preferential information, the DRSA uses some sort of preferential information closer to the natural way of thinking of the DM.
Artificial intelligence-based group decision making to improve knowledge transfer: the case of distance learning in higher education
Published in Journal of Decision Systems, 2023
We propose a method based on the dominance-based rough-set approach (DRSA) and multicriteria classification. This method comprises two phases. In the first phase, we build collective decision rules that generalise teachers’ preferences. In the second phase, we exploit this model to classify students into two decision classes.