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Neutrosophic Sets and Systems

Abstract

The study addresses the problem of evaluating the viability of complex industrial projects, specifically in the design of a chipboard plant. In the context where decision-making is loaded with uncertainty and multiple interdependent variables, it is critical to have methodologies that can capture this complexity. Despite advances in the feasibility assessment literature, a lack of approaches that effectively integrate indeterminacy and expert opinion in a quantifiable manner has been identified. This article seeks to fill that gap by proposing a method based on neutroAlgebra, combining neutrosophic 2-tuple linguistic models and the Prospector method. The methodology developed in the study allows for a robust evaluation of the viability of an agglomerate plant, considering factors such as sustainability, environmental impact and economic viability. The results obtained show that the proposed method is not only effective in managing uncertainty for strategic decisions. This represents a contribution to the field, offering a practical tool that can be applied in various industrial contexts, thus improving the planning and execution of complex projects.

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