International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2826 2020 2020 Department of Mathematics, Siddaganga Institute of Technology, Tumakuru – 572103, Karnataka, India Shaik Shaik Associate Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh - 522302, INDIA Shaik Khaja .. Department of Mathematics, Velammal College of Engineering and Technology, Madurai- 625009, Tamil Nadu, INDIA. A. P. Pushpalatha Associate Professor, Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Hyderabad - 508284, INDIA Vadali Srinivas Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai – 600062, Tamil Nadu, INDIA. M. Premalatha Assistant Professor, Department of Mathematics, R.M.K College of Engineering and Technology, Puduvoyal – 601206, Chennai, Tamil Nadu, INDIA Sakthi. R. The created SDE-Framework combines neutronosophic logic and fuzzy mathematics in a novel method, aiming at facilitating more informed decision outcomes in computational systems and information technology management. This method hopes to aid in determining strategic solutions by controlling the expected sophistication and ambiguity in these two technologically dynamic industries. Neutronosophic logic divides data into three components: truth, indeterminacy, and falsity, build an exhaustive technique for addressing contradiction and indeterminacy. This significantly increases the method by enabling a more complete exploration of potential options with ambiguous and inadequate data. Second, the fuzzy mathematics gives a valuable contribution. It offers a refined method for managing the levels of probability and certainty through membership features, resulting in more exact and flexible evaluations. By the usage of such compared sophisticated mathematics concepts, SDE-Framework addresses potential decision-making scenarios by letting the computer formulates do the judgements for the determinable and in determinable explicit data. The subsequent crucial parameters are adopted to tolerance values: validity and responsibility, falseness foreach, indeterminacy magnitude to each, and truth value. This guarantees its combination of complexity supportive rand reading of actual surroundings. 2024 2024 179 189 10.54216/IJNS.240316 https://www.americaspg.com/articleinfo/21/show/2826