International Symposium on Operational Research in Slovenia, Bled, 25-27.09.2019r.
W dniach 25-27 września 2019 roku w Bled (Słowenia) odbyło się 15th International Symposium on Operations Research in Slovenia, zorganizowane przez Slovenian Society Informatika, Section of Operations Research, University of Ljubljana.
Na konferencji wygłoszono dwa referaty zespołu naukowego skupionego wokół projektu naukowego:
- Tomasz Wachowicz, Uniwersytet Ekonomiczny w Katowicach, Ewa Roszkowska, Uniwersytet w Białymstoku, Marzena Filipowicz-Chomko, Politechnika Białostocka, Decision Making Profile and the Choices of Preference Elicitation Mode – A Case of Using GDMS Inventory
Abstract: In this paper we analyze how the decision making profile may affect the decision makers’ (DMs) choices regarding the most preferable modes of both declaring the preferences (in the preference elicitation process) and representing the preference elicitation results by the software support systems. We use the General Decision Making Style Inventory (GDMS) that allows to describe the profile using a mix of five styles: rational, intuitive, dependent, avoidant and spontaneous. Using the dataset of online multiple criteria decision making experiment we identify the clusters of respondents with similar decision making profiles and analyze the differences in expected preference elicitation mode. Our results partially confirm earlier findings of behavioral studies in decision making that more intuitive DMs prefer the rankings and non-numerical ways of defining preferences, while the more rational ones operate more willingly with numbers and ratings. However, there is another group of GDMS-specific DMs, highly avoidant and non-spontaneous, who also differ from others with respect of preferring pictorial definition of preferences.
Publikacja dostępna jest pod linkiem:
http://fgg-web.fgg.uni-lj.si/~/sdrobne/sor/SOR'19%20-%20Proceedings.pdf
- Tomasz Wachowicz, Uniwersytet Ekonomiczny w Katowicach, Ewa Roszkowska, Uniwersytet w Białymstoku Investigating the Self-Serving Bias in Software Supported Multiple Criteria Decision Making Process
Abstract: The results of the decision support tools that were offered to the decision makers in solving the multiple criteria decision making problem. Using experimental data we examine how do they explain the fact that the final decision support tool they chose as most accurate produced the ranking different from the one the decision maker declared beforehand, prior to decision making process, as reflecting their preferences best. We found that self-serving bias is not common in highly involving decision support system and may depend on the actual task and its consequentiality.
Publikacja dostępna jest pod linkiem:
http://fgg-web.fgg.uni-lj.si/~/sdrobne/sor/SOR'19%20-%20Proceedings.pdf
