MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202631081978 A) filed by Dr. Hemamalini. S; Mrs. M. Yojani; Mr A. Ramesh Khanna; Vijaya Alukapelly; Avula Shireesha; Dr. Srinivasan Nagaraj; Dr. Kiran Kumar Kommineni; Ansh Parashar; and Dr Someshwar S on July 03, 2026, for Cloud Computing Adoption Framework For Smes: A Risk-Based Approach Using Fuzzy Logic And Decision Trees.
Inventors include Dr. Hemamalini. S; Mrs. M. Yojani; Mr A. Ramesh Khanna; Vijaya Alukapelly; Avula Shireesha; Dr. Srinivasan Nagaraj; Dr. Kiran Kumar Kommineni; Ansh Parashar; and Dr Someshwar S.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT OF THE INVENTION: The present invention provides a cloud computing adoption framework for Small and Medium Enterprises (SMEs) employing a risk-based approach integrating fuzzy logic and decision trees. The framework addresses the critical challenges faced by SMEs in adopting cloud computing, including security concerns, limited IT capabilities, financial constraints, and regulatory compliance requirements. The invention comprises systematic components for identifying and evaluating adoption benefits and drivers, identifying and evaluating adoption concerns and barriers, mapping appropriate interventions to address concerns, and managing information practices in cloud environments. The framework incorporates fuzzy logic to handle the inherent uncertainty and imprecision in assessing adoption factors, enabling nuanced risk evaluation through continuous membership functions rather than binary classifications. The decision tree component of the invention provides clear, hierarchical adoption pathways based on the evaluated risk factors and organizational context. Each branch node in the decision tree represents a decision point based on critical factors such as security risk, cost considerations, compatibility with existing systems, and organizational readiness. Each leaf node represents a specific adoption recommendation, including full cloud adoption, hybrid cloud adoption, selective adoption, staged adoption, or deferral of adoption based on risk assessment outcomes. The framework further includes comprehensive guidelines for information management practices, addressing data classification, categorization, access control, encryption, and compliance requirements specific to cloud environments. The invention provides assessment guidelines for evaluating the effectiveness of implemented interventions, ensuring that concerns are properly addressed and business objectives are achieved. The framework integrates all components into a unified, functional decision support system that can be implemented as a practical tool for guiding SME cloud adoption decisions. The present invention offers significant advantages over existing approaches by providing a systematic, risk-based methodology specifically tailored to the SME context. The integration of fuzzy logic and decision trees enables sophisticated handling of uncertainty while providing clear, actionable guidance for non-expert decision- makers. The framework contributes to accelerating SME digital transformation by reducing the risks and uncertainties associated with cloud adoption.
Disclaimer: Curated by HT Syndication.
