A Filtering approach used in a massive data context to reduce the set of choices in a multicriteria decision aid process: Pareto solutions
| Autor: | Mohammed Chaouki Abounaima, Mohammed Talibi Alaoui, Fatima Zahra El Mazouri, Noureddine El Makhfi, Mohamed Ouzarf, Loubna Lamrini |
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| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Data context and interaction 021103 operations research business.industry Process (engineering) Computer science Big data 0211 other engineering and technologies Intelligent decision support system Pareto principle Context (language use) 02 engineering and technology Multi-objective optimization Set (abstract data type) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business |
| Zdroj: | ICECOCS |
| DOI: | 10.1109/icecocs50124.2020.9314445 |
| Popis: | The purpose of this paper is to propose a solution to reduce the number of candidate alternatives in a Multi-Criteria Decision-Making problem. The majority of Multi-Criteria Decision-Making methods suppose a limited number of alternatives, whereas, in the context of massive data processing, such as in Big Data, this condition is no longer necessarily verified. In the proposed solution, as a first step of the decision process, it will be more interesting to start by filtering the alternatives and retain only the most efficient alternatives for the rest of the decision process. For that, we adopt an approach based on the Pareto-optimal solutions. Indeed, a Pareto-optimal solution is an efficient solution, since, by definition, there is no other alternative that is better than it, compared to all the criteria. Finally, as a second step in the decision process, the Multi-Criteria Decision Making methods are applied to select the best choice from only the Pareto-optimal solutions. We propose in this work, two algorithms, the first one allows us to calculate the dominance relationship that exists between two alternatives, and the second one allows us to determine all the Pareto-optimal solutions from the set of the alternatives suggested for the Multi-Criteria Decision Aid problem. A numerical example of illustration will be examined to prove the importance and effectiveness of the proposed approach. |
| Databáze: | OpenAIRE |
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