Using temporal analysis to expand the application of multi-criteria decision making

NOTE - this seminar is on TUESDAY (rather than our usual Wednesday)

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Abstract

Many decisions consist of analyzing alternatives based on multiple and often conflicting criteria. Multiple Criteria Decision Analysis (MCDA) is an effective methodology that has been used to rank or sort alternatives and also to analyze the preferences of decision-makers. Some decisions are made considering the evolution of the criterion over time, which may contain information that is relevant when making decisions. For instance, in medium- or long-term investment decisions, the trend and average of the criteria time-series would be considered. In this presentation, I will discuss the benefit of incorporating temporal analysis in MCDA. I will show the proposed methodologies, supported by signal processing techniques and tensorial algebra, to rank the alternatives and analyze decision-maker preferences considering the criteria time-series. The proposal was validated in the economics and basketball decision-making contexts, concluding that MCDA may cover more applications by considering the temporal analysis.

The Speaker

Betania Campello is a Ph.D. student at the School of Electrical and Computer Engineering at the University of Campinas, Brazil, and is currently a visiting student at the Telfer School of Management at the University of Ottawa, Canada. She obtained her Bachelor's degree in business administration and management at the University of Valladolid, Spain, and her Master's degree in production and manufacturing engineering at the University of Campinas, Brazil. Her research focuses on temporal analysis in multi-criteria decision-making