Sentiment Analysis (SA) field relies on lexicons to analyze people's perceptions. Therefore, evaluating and benchmarking lexicons is crucial for SA development, falling under Multi-Criteria Decision-Making (MCDM). The Fuzzy-Decision-by-Opinion-Score Method (FDOSM) and Fuzzy-Weighted-Zero-Inconsistency (FWZIC) techniques are novel MCDM extensions in a fuzzy-environment that address complexity-problems. Hence, this study aims to use these techniques to evaluate and benchmark dialectal lexicons. The methodology for this research is presented in four phases. The first phase includes developing four main criteria, along with its 28 sub-criteria for lexicon evaluation; the second phase proposes a multidimensional decision-matrix based on evaluation criteria and available lexicons; in the third phase, the multidimensional evaluation and benchmarking results of MCDM are obtained by FDOSM and are achieved by FWZIC; in the fourth phase, the validation was conducted based on the fusion of Systema.....

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