Multi-Valued Cognitive Maps: Calculations with Linguistic Variables without Using Numbers
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Abstract (arXiv)
A concept of multi-valued cognitive maps is introduced in this paper. The concept expands the fuzzy one. However, all variables and weights are not linearly ordered in the concept, but are only partially-ordered. Such an ap- proach allows us to operate in cognitive maps with partially-ordered linguis- tic variables directly, without vague fuzzification/defuzzification methods. Hence, we may consider more subtle differences in degrees of experts' uncer- tainty, than in the fuzzy case. We prove the convergence of such cognitive maps and give a simple computational example which demonstrates using such a partially-ordered uncertainty degree scale.
Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). Builds on 1 of its 31 references that are in the map. First posted on arXiv 10 Aug 2021.
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- 2016Models of latent consensuscited by 1
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.
2 papers.