Extension of SIR method with interval type 2-hesitant fuzzy set to aggrandize industry?university collaboration projects in South Korea

Abstract

This research article proposes a novel MCDM (multi-criteria decision making) technique with interval type-2 hesitant fuzzy set (IT-2 HFS). We amalgamate an algorithm of the Superiority and inferiority ranking method (SIR) method with this IT-2 HFS. The interval type-2 hesitant fuzzy sets demonstrate the uncertainty involved in the context. The SIR method analyzed the navigation of the alternatives in the directions of superiority and inferiority. The proposed interval type-2 hesitant fuzzy superiority and inferiority ranking (IT-2 HFSIR) method was used to analyze and rank Korea’s industry?university collaboration performance level. In the industry?university collaboration association, research universities and industries interchange innovations. This research investigated industry?university collaboration through five dimensions: human resources, technical resources, various environments, institutions, and systems. Under these five dimensions, we consider eleven alternatives; we evaluate these alternatives under eight different criteria. By extending the SIR method with the interval type-2 hesitant fuzzy set, we can easily integrate human opinion in the computing method. We can therefore effectively handle the uncertainty and ambiguity from the available information by the interval type-2 fuzzy set. As a result, we can utilize both benefits by using them together in a combined form as the interval type-2 hesitant fuzzy set. The proposed method considers ambient intelligence from almost all aspects for real-life decision making, and it integrates humans’ opinions in computing. ? 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.