ABSTRACT
Higher education institutions have an urgent need to move toward adopting and establishing a smart framework employing spatial software for campus sustainability. Furthermore, the relevance and significance of building a smart spatial-based framework to analyze the appropriateness and sustainability performance of higher education institution campuses are derived from the worldwide adage “think globally, act locally.” A further rationale is a country-specific approach that offers a complete information repository for government and higher education institution managers. This chapter addresses this research vacuum by evaluating the relative relevance of spatial-based indicators that fit with the stakeholders’ degree of awareness and the nature of the local context in every given nation. This relative significance will assist the development of a method for smart university campuses to embrace the local environment to achieve a smart city objectively. An MCDM-blended approach is presented to prioritize sustainability indicators’ performance and assess the sustainability performance of smart campuses (SCs). The applied approach was carried out under q-rung orthopair fuzzy set (q-ROFS) environment and using q-rung orthopair fuzzy numbers (q-ROFNs). The approach used consists of two methods q-ROFS entropy and the q-ROFS Technique for Order of Preference by Similarity to Ideal Solution (q-ROFS TOPSIS).
