MCDM

Causal Relations with DEMATEL

Assessing interrelations among criteria and splitting them into cause/effect groups with a causal digraph.

Suited for

Structural relations of criteria, ISM prerequisite and relation-based weighting.

Data needed

Experts’ pairwise matrices (0–4 scale) and the criteria list.

What you receive

Normalized total-relation matrix, causal digraph, cause/effect table and (fuzzy version) fuzzy outputs.

Ready Excel file for this method
⬡ The Metoda 4-Part Delivery Standard
01Raw file & executable script

Project file, Do-file / R & Python scripts — 100% reproducible results

02APA 7th standard tables

Editable Word file, ready for chapter 4 or an ISI/Scopus paper

03Print-quality vector figures

Path models, causal plots, volatility & Pareto — 300 DPI / SVG

04Step-by-step narrative & support

Full statistical interpretation + support until defense or acceptance

Common questions

DEMATEL vs fuzzy DEMATEL?

The fuzzy version preserves expert uncertainty and suits heterogeneous panels.

Minimum experts?

Usually 5–15; result stability is checked.

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Send your task details in the first message; data review and the quote happen in the same chat.

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