Fuzzy Techniques for Decision Making 2018

<p>Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity uncertainty imprecision or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools techniques and methodologies for decision making (inclusive of both individual and group single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness hesitancy roughness covering sets and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches.</p>