Combining fuzzy theory with data envelopment analysis (DEA) is proved to be an advantageous tool to assess the performance of decision-making units (DMUs) under uncertainty. As innovative activities and processes always are faced with uncertainty, this paper aims to propose a novel approach...

The recent acceleration and ongoing development in Artificial Intelligence (AI) and its related (and/or enabling) digital technologies presents new challenges and considerable opportunity on which businesses and individuals may capitalise. In the era of BD - and with increasing societal value...

This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decision-making method in three perspectives. First, the problem is investigated in a fuzzy environment. Secondly, multiple decision-makers involve in decision-making process. It allows the moderator to...

Despite the great promises and potential of quantum computing, the full range of possibilities and practical applications is not yet clear. In this contribution, we highlight the potential for quantum theories and computation to reignite the art and science of expert systems and knowledge...