One of the main challenges already faced by communication networks is the efficient management of increasing complexity. Cognitive networks are put forwarded in the framework of evolution of network architectures as novel paradigms to provide autonomous in network reasoning to support end to end goals. This paper aims at proposing a new method for modifying spectral efficiency of topology control using new vertex coloring algorithm in Thomas cognitive networks. پرونده مقاله

Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units‎. Unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producing outputs which are subsequently fed as inputs to the second stage‎. ‎These indices are introduced as intermediate indices‎. ‎Here‎, it is assumed that congruent decision-making units have a two-stage serial structure‎. ‎In this structure‎, ‎the first stage and second stages act as the supplier and the consumer of resources respectively‎. ‎Two ranking models based on the efficiency cloud and the common set of weights concepts were developed for ranking network-structured decision-making units‎. ‎In the practical example presented in this study‎, ‎25 bank branches were ranked using the two-stage method.‎‎‎ پرونده مقاله