Abstract Evaluating entrepreneurial opportunities exemplifies the decision-making under conditions of uncertainty. These evaluations mainly have been done in a complex and dynamic environment under true uncertainty. In contrast to risk and ambiguity, in true uncertainty not only all potential outcomes and their assigned probabilities are unknown, but also it is not possible easily to estimate the probabilities and acquire knowledge about the results. In these situations, entrepreneurs evaluate opportunities based on minimal and inaccurate information, which is described by fuzzy variables, i.e. linguistic variables that do not have any clear boundaries. Hence, adopting a fuzzy approach, the purpose of this paper is to propose a model for evaluating entrepreneurial opportunities under conditions of uncertainty. This study is the first using fuzzy screening to formulate opportunity evaluation as a Multi-Expert Multi-Criteria Decision-Making (ME-MCDM) problem and it is innovative in this research area. In doing so, first, through a systematic literature review and focus group the authors identified entrepreneurs’ current solutions for evaluating opportunities under true uncertainty. Then, a ME-MCDM model has been suggested to evaluate opportunities and select between them. The model is based on fuzzy screening method and evaluates 12 opportunities by 15 experts in a medium entrepreneurial firm. R software has been used to perform calculations. With regard to experts’ aggregate evaluations, findings show that O6 and O11 have higher rating (better evaluation) among opportunities and considered as appropriate candidates for pursuing.

Abstract This paper proposes a Fuzzy Multiple Criteria Decision Making (FMCDM) approach for measuring supply chains capability with the main aim of customer satisfaction development. Drawing on the four measurement criterions of a Supply Chain Operations Reference (SCOR) model, this research first summarized the customer satisfaction and performance indexes synthesized from the literature relating to supply chains capability. Then, for screening, the indexes fit for supply chains capability in customer satisfaction development were selected through fuzzy screening. Furthermore, the relative weights of the chosen indexes were calculated by Fuzzy Analytic Hierarchy Process (FAHP). The MCDM analytical tool of TOPSIS was adopted to rank the supply chains performance and improve the gaps with three supply chains as an empirical example. The analysis results highlighted the critical aspects of evaluation criteria as well as the gaps to improve supply chains capability for achieving the aspired/desired level of customer satisfaction development. The results also showed that the proposed FMCDM measuring model using the SCOR framework can be a useful and effective assessment tool.