When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.
| ISBN: | 9781498777087 |
| Publication date: | 16th August 2017 |
| Author: | Gwo-Hshiung (National Taipei University, Taiwan) Tzeng, Kao-Yi (Chinese Culture University, Taipei, Taiwan) Shen |
| Publisher: | CRC Press Inc an imprint of Taylor & Francis Inc |
| Format: | Hardback |
| Pagination: | 362 pages |
| Genres: |
Environmental science, engineering and technology Engineering: general Probability and statistics Product design Applied mathematics |