Abstract
This study investigates cause and effect relationships in cognitive maps and the coexistence of pairs of such relationships in cognitive maps of a chosen group of decision-makers. We call the existence of a pair of causal relationships shared by the group of decision-makers in their cognitive maps inter-causal relationship. We investigate the coexistence of the chosen pairs of causal relationships in the maps in terms of one of the causal relationships being a necessary and/or sufficient condition for the existence of the other using the tools of fuzzy-set qualitative comparative analysis. We develop and propose a framework to extract and examine the inter-causal relationships from the cognitive maps. The proposed method is based on set-theoretic consistency and coverage measures. We used empirical data (of 71 cognitive maps) collected from a cognitive mapping approach performed by individuals in management teams within a strategic decision-making simulation process to test the proposed approach. Empirical results show that our method can identify inter-causal relationships and provide analytic results for a more complex interpretation if the information arises from the structure of cognitive maps.
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Notes
- 1.
If P and Q are fuzzy sets on X then \(P\cap Q\) is a fuzzy set on X as well and its membership function is defined, for the purpose of our calculations, using the \(\min \) t-norm, that is for any \(x\in X\) we have \((P\cap Q)(x)=\min \{P(x),Q(x)\}\).
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Mailagaha Kumbure, M., Luukka, P., Tarkiainen, A., Stoklasa, J., Jantunen, A. (2022). An Investigation of Hidden Shared Linkages Among Perceived Causal Relationships in Cognitive Maps. In: Luukka, P., Stoklasa, J. (eds) Intelligent Systems and Applications in Business and Finance. Studies in Fuzziness and Soft Computing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-93699-0_2
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