Credibility-based general Hartley measure and its application in fuzzy programming

Fuzzy techniques are playing an important role in current intelligent computations and optimizations, so how to reasonably describe and process uncertain information becomes urgent in many practical domains such as artificial intelligence, computer techniques and optimizations in complex manufacturing systems, and this is also mainly concerned in academic circles. General Hartley measure, proposed before, can be used to measure the unspecificity of fuzzy sets on general ranges with measure systems. Following this, we consider the general Hartley measure based on credibility for fuzzy numbers, and then give a mathematical model determining the decision-making level of fuzzy programming based on the maximal unspecificity.