Abstract
The present article focuses on two directions. First, a new fuzzy method using TFNs or TpFNs as tools is developed for evaluating a group's mean performance, when qualitative grades instead of numerical scores are used for assessing its members' individual performance. Second, a new technique is applied for solving linear programming problems with fuzzy coefficients. Examples are presented on real life situations connected to hyper connectivity and computing problems. Such examples illustrate the applicability of our methods in the modern practice of the forthcoming era of a new industrial revolution that will be characterized by the development of an advanced Internet of Things and energy and by the cyber-physical systems controlled through it. A discussion follows for the perspectives of future research on the subject and the article closes with the general conclusions.
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