Graphical Fuzzy AHP Platform

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Abstract

The Analytic Hierarchy Process (AHP) is a well-established method for multi-criteria decision-making that structures complex problems hierarchically. However, classical AHP struggles with uncertainty, which has led to the development of fuzzy extensions incorporating linguistic assessments. Building on this, Graphical Fuzzy AHP enhances intuitiveness by allowing users to visually express preferences through interactive tools. In an experiment involving 50 experts, the proposed approach reduced the average Consistency Ratio from 0.29 to 0.14, indicating improved judgment stability. We present a dedicated software platform that supports both classical and graphical fuzzy AHP methods. The system is designed for ease of deployment and use, employing technologies such as Docker, RethinkDB, FastAPI, and Vue.js. It enables the creation and administration of surveys with multiple response modalities, along with exportable results and built-in analytical tools. The platform improves the accessibility, transparency, and reliability of decision-making processes in complex and uncertain environments.

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