Enhanced Managerial Decision Optimization in Financial Accounting Using the Picture Fuzzy MARCOS-Based MCGDM Approach

Abstract

In the complex landscape of financial accounting, selecting an optimal accounting system is crucial for organizations aiming to enhance compliance, financial reporting accuracy, and operational efficiency. To address these challenges, this study introduces a novel decision-making approach, integrating Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) with Picture Fuzzy Sets (PFS), known as the Picture Fuzzy MARCOS (PF-MARCOS) approach. PF-MARCOS provides a more accurate and comprehensive evaluation of financial accounting systems by incorporating vagueness and ambiguity in decision-making. Applying this approach to assess ten accounting platforms, the study evaluates key parameters, including compliance with international standards, cost, scalability, security, ease of implementation, accuracy, and user-friendliness. Decision-makers can efficiently rank alternatives using this systematic approach, determining which choices are most suited to long-term budgetary constraints. The results highlight the potential of PF-MARCOS for handling complex and uncertain financial scenarios, offering an effective tool to improve managerial financial accounting decision-making.