Multicriteria decision making inspired by human cognitive processes

Władysław Homenda , Agnieszka Jastrzębska , Witold Pedrycz


In this study, we present an approach to multi-criteria decision-making modeling inspired by human cognitive processes. The proposed model exploits the ideas of fuzzy sets, balanced fuzzy sets and their connectives, namely t-norms, t-conorms and derived connectives. Balanced connectives are compared and contrasted with unipolar fuzzy connectives. Our objective is to capture complex aspects of decision-making processes. We consider imperfect bipolar information that engages positive and negative aspects and leads to decisions. Furthermore, we investigate behavioral biases. This allows us to provide a detailed insight into decision-making processes realized by human beings and their biases: impact of arguments ordering on the decision, risk aversion, and impact of input arguments fading with time. We investigate and describe the suitability of selected triangular and balanced connectives for decision-making modeling inspired by cognitive processes. We compare different pairs of standard t-norms, t-conorms and balanced counterparts, and discuss their abilities to model various, also irrational, aspects of human behavior. The developed two-step procedure is applied to decision-making modeling presented as a case study and compared with a method known in the literature.
Author Władysław Homenda ZSMPW
Władysław Homenda,,
- Department of Structural Methods for Knowledge Processing
, Agnieszka Jastrzębska ZSMPW
Agnieszka Jastrzębska,,
- Department of Structural Methods for Knowledge Processing
, Witold Pedrycz
Witold Pedrycz,,
Journal seriesApplied Mathematics and Computation, ISSN 0096-3003
Issue year2016
Publication size in sheets0.95
Keywords in EnglishDecision analysis, Decision processes, Decision support systems, Multiple criteria analysis, Balanced fuzzy sets, Balanced norms
Abstract in PolishW pracy przedstawiono autorskie podejście do modelowania wyboru konsumenta uwzględniające aspekty behawioralne wpływające na ten proces. Opracowany model opisuje informację wejściową (preferencje konsumenta, wiele ) za pomocą skali bipolarnej [-1,1]. Krok przetwarzania (inaczej: agregacja preferencji konsumenta) jest zakończony decyzją. Proces agregacji przesłanek uwzględnia zmianę preferencji w czasie oraz odchylenia behawioralne wpływające na proces podejmowania decyzji. Opracowany model został zastosowany do modelowania decyzji konsumenta w ilustracyjnych studiach przypadków autorskich oraz wziętych z literatury w celu porównania.
Languageen angielski
Score (nominal)40
ScoreMinisterial score = 35.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 40.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 1.738 (2) - 2016=1.702 (5)
Citation count*0 (2016-09-06)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.