Abstract
This chapter deals with the commencement, history and evolution of multi-criteria decision-making process. It gives the reader a bird’s-eye glance of the birth, development and present-day status of this discipline, which is nowadays taught in most technical universities and others around the world. Its purpose is to make the reader aware of why it was conceived and developed and what can a practitioner expect from it. It mentions the main actors and their role, as well as enumerates the factors or aspects that need to be considered.
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Notes
- 1.
In computer science, artificial intelligence and mathematical optimization, a heuristic (from Greek εὑρίσκω ‘I find, discover’) is a technique designed for solving a problem more quickly when classic methods are too slow or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy or precision for speed. In a way, it can be considered a shortcut (Wikipedia).
- 2.
These references correspond to authors mentioned in the text. However, there are also publications than are not mentioned in the text but that have been added for the reader to access more information about this Chapter; they are identified with (*).
References
These references correspond to authors mentioned in the text. However, there are also publications than are not mentioned in the text but that have been added for the reader to access more information about this Chapter; they are identified with (*).
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Munier, N., Hontoria, E., Jiménez-Sáez, F. (2019). Multi-Criteria Decision-Making, Evolution and Characteristics. In: Strategic Approach in Multi-Criteria Decision Making. International Series in Operations Research & Management Science, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-02726-1_1
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