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The main objective of this article is to present a newly proposed Multiple Criteria Decision Making (MCDM) method, its development, and its extensions. The Integrated Simple Weighted Sum Product Method (WISP) method was proposed last year with the aim of forming as simple as possible MCDM method based on the integration of Weighted Sum and Weighted Product approaches. To confirm its usability, numerous analyses were conducted to determine the similarity of the results obtained using the WISP method and some significant MCDM methods. Analyzes were performed using the Python programming language and its NumPy library, where the similarity of results is determined using the Cosine Similarity measure. The results of the conducted analyses confirmed the usability of the WISP method, which is why certain extensions have already been proposed for this method, in order to enable its application for solving more complex decision-making problems. [ABSTRACT FROM AUTHOR]

This paper examines the importance of investment activity for companies and the challenges they face when evaluating investment projects in a fuzzy environment. The study focuses on the usage of a new extension of the Simplified WISP method, which allows the use of triangular fuzzy numbers, as a tool for evaluating investment projects and minimizing the risk associated with such decisions. The paper highlights the benefits of using this MCDM technique in investment project evaluation and the potential to improve decision-making processes. The study also discusses the challenges associated with applying MCDM techniques in a fuzzy environment and proposes solutions to overcome them. It also provides valuable insights for academics, practitioners, and policymakers interested in investment evaluation and decision-making processes. [ABSTRACT FROM AUTHOR]