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    Multi-Criteria Evaluation of Robotic Process Automation Projects Using Proportional Spherical Fuzzy AHP & TOPSIS Methodology
    (Old City Publishing Inc, 2026) Dogan, Onur; Cinar, Ulas; Alkan, Nursah; Gulbay, Murat; Kahrama, Cengiz
    Robotic process automation (RPA) is a core software technology for automating digital tasks quickly and reliably and for enabling enterprise automation to execute business processes with speed and accuracy. Evaluation of RPA technologies is a muti-criteria decision making (MCDM) problem including many intangible criteria whose values are generally vague and imprecise. Spherical fuzzy sets (SFS) is an extension of Picture fuzzy sets providing a larger domain to assign membership degrees. Proportional fuzzy sets (PFS) provides a technique to determine membership degrees with a more consistent and sensitive way. In this article, a multi-expert proportional spherical fuzzy integrated AHP&TOPSIS methodology in which AHP is used for computing the criteria weights and TOPSIS is used for selecting the best RPA alternative is presented. Comparative and sensitivity analyses are also applied to determine the validation and robustness of RPA selection decision.