Akademik Veri Yönetim Sistemi
International Conference on Intelligent and Fuzzy Systems (INFUS 2025), İstanbul, Türkiye, 29 - 31 Temmuz 2025, ss.671-682, (Tam Metin Bildiri)
Green computing, focused on minimizing environmental impact and optimizing energy efficiency in computing systems, faces complex decision-making challenges in selecting sustainable technologies. This paper introduces the Vector Based Preference Aided Ranking System (V-PARS), a novel vector-based MCDM methodology implemented for green computing applications under uncertainty. Unlike distance-based approaches, V-PARS uses vectors to capture both magnitude and direction, providing a more flexible and context-sensitive framework for evaluating alternatives. V-PARS positions the decision itself as the reference point, leveraging Nudge Theory and preference ordering to align decisions with environmental, economic, and technological priorities. The method incorporates both objective and subjective data, accommodating the uncertainty inherent in scenarios. Furthermore, V-PARS addresses challenges such as normalization and scaling of diverse criteria, ensuring fair comparison across alternatives. A case study is presented to demonstrate the application of V-PARS in selecting energy-efficient computing systems for a corporate data center. Various hardware configurations, cloud solutions, and energy management policies are evaluated and ranked based on sustainability performance, energy efficiency, and environmental impact in cooperating with crisp and fuzzy information. The results illustrate how fuzzy V-PARS can guide informed decisions that balance performance with sustainability goals. By providing a robust and adaptable decision-making framework, V-PARS offers a promising tool for advancing green computing initiatives, enabling more informed, sustainable, and environmentally responsible technology choices in the computing industry.