This paper presents a comparative study of different techniques used for fuzzy multi-criteria expert’s decision-making (FMCEDM). These include CSM1, CSM2, CSM3, FSAW, and TOPSIS. We developed the methods CSM1 and CSM3 respectively and studied their validity by comparing their illustration results with that of CSM2, FSAW and TOPSIS. Expert’s ratings and weights were assigned in linguistic variables in terms of triangular fuzzy numbers (TFNs) to the FMCEDM problem. Airport performance evaluation and a personnel selection problem were studied as alternatives under different decision criteria and experts.
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